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Research on Rough Set Theory and Applications in China

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Transactions on Rough Sets VIII

Part of the book series: Lecture Notes in Computer Science ((TRS,volume 5084))

Abstract

This article gives a capsule view of research on rough set theory and applications ongoing at universities and laboratories in China. Included in this capsule view of rough set research is a brief description of the following things: Chinese research groups on rough set with their URLs for web pages, names of principal researchers (supervisors), numbers of graduate students, and topics being investigated. Statistical summaries showing the growth in the research on rough set theory and application in China are included. In addition, an introduction summarizing the research interests of Chinese researchers is included in this article. The contribution of this article is a complete overview of the principal research directions in rough set theory and its applications in China.

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References

  1. Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds.): RSCTC 2002. LNCS (LNAI), vol. 2475. Springer, Heidelberg (2002)

    MATH  Google Scholar 

  2. An, A.J., Stefanowski, J., Ramanna, S., Butz, C.J., Pedrycz, W., Wang, G.Y. (eds.): RSFDGrC 2007. LNCS (LNAI), vol. 4482. Springer, Heidelberg (2007)

    Google Scholar 

  3. An, J.J., Chen, L., Wang, G.Y., Wu, Y.: Quantitative analysis of the difference between the algebra view and information view of rough set theory. In: Proceedings of WI/IAT 2003 Workshop on Applications, Products and Services of Web-based Support Systems, Halifax, Canada, pp. 159–164 (2003)

    Google Scholar 

  4. An, J.J., Wang, G.Y., Wu, Y.: A learning algorithm for multiple rule trees. In: The Second International Workshop on Web-based Support Systems, WSS 2004, Beijing, pp. 13–19 (2004)

    Google Scholar 

  5. An, J.J., Wang, G.Y., Wu, Y.: A learning algorithm based on multiple rule trees. Computer Science 31, 175–177 (2004)

    Google Scholar 

  6. An, J.J., Wang, G.Y., Wu, Y., Gan, Q.: A rule generation algorithm based on granular computing. In: 2005 IEEE International Conference on Granular Computing, GrC, pp. 102–107 (2005)

    Google Scholar 

  7. An, J.J., Gan, Q., Wang, G.Y., Wu, Y.: An algorithm for rule and knowledge acquisition based on granular computing. Computer Science 32, 137–140 (2005)

    Google Scholar 

  8. An, L.P.: Conflict analysis and negotiation model based on rough set theory. Journal of University of Science and Technology Beijing 24, 91–95 (2002)

    Google Scholar 

  9. An, L.P.: Determination of coalitions and strategy selection in conflict analysis. Journal of Tianjin University Science and Technology 35, 15–18 (2002)

    Google Scholar 

  10. An, L.P.: A rough neural expert system for medical diagnosis. In: Proceedings of 2005 International Conference on Services Systems and Services Management, Chongqing, China, vol. 2, pp. 1130–1135 (2005)

    Google Scholar 

  11. An, Q.S., Shen, J.Y., Wang, G.Y.: A clustering method based on information granularity and rough sets. Pattern Recognition and Artificial Intelligence 16, 412–417 (2003)

    Google Scholar 

  12. An, Q.S., Shen, J.Y.: Granular computing on functional dependencies for information system. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds.) RSCTC 2004. LNCS (LNAI), vol. 3066, pp. 186–191. Springer, Heidelberg (2004)

    Google Scholar 

  13. An, Q.S., Zhang, W.X.: The Measures relationships study of three soft rules based on granular computing. In: Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.) RSKT 2006. LNCS (LNAI), vol. 4062, pp. 371–376. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  14. An, Q.S., Zhang, Y.S., Zhang, W.X.: The study of rough relational database based on granular computing. In: IEEE International Conference on Granular Computing (GrC 2005), pp. 108–111 (2005)

    Google Scholar 

  15. Bazan, J.G., Kruczek, P., Bazan, S.S., Skowron, A., Pietrzyk, J.J.: Automatic Planning of Treatment of Infants with Respiratory Failure Through Rough Set Modeling. In: Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S., Słowiński, R. (eds.) RSCTC 2006. LNCS (LNAI), vol. 4259, pp. 418–427. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  16. Bazan, J.G., Kruczek, P., Bazan, S.S., Skowron, A., Pietrzyk, J.J.: Rough Set Approach to Behavioral Pattern Identification. Fundamenta Informaticae 75, 27–47 (2007)

    MathSciNet  Google Scholar 

  17. Chang, L.Y., Wang, G.Y., Wu, Y.: An approach for attribute reduction and rule generation based on rough set theory. Journal of Software 10, 1206–1211 (1999)

    Google Scholar 

  18. Chen, D.G., Zhang, W.X.: The lower and upper approximations of fuzzy sets in fuzzy group. In: Pal, N.R., Sugeno, M. (eds.) AFSS 2002. LNCS (LNAI), vol. 2275, pp. 502–508. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  19. Chen, D.G., Zhang, W.X., Daniel, D., Tsang, E.C.C.: Rough approximations on a complete completely distributive lattice with applications to generalized rough sets. Information Sciences 176, 1829–1848 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  20. Chen, D.G., Wang, C.Z., Hu, Q.H.: A new approach to attribute reduction of consistent and inconsistent covering decision systems with covering rough sets. Information Sciences 177, 3500–3518 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  21. Dai, J., Hu, F., Wang, G.Y.: Research and application of text classification based on incomplete information system. Journal of Chongqing University of Posts and Telecommunications 18, 397–401 (2006)

    Google Scholar 

  22. Dai, J.H.: Rough algebras and 3-valued Lukasiewicz algebras. Journal of Computers 30, 161–167 (2007)

    Google Scholar 

  23. Dai, J.H., Pan, Y.H.: On rough algebras. Journal of Software 16, 1197–1204 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  24. Dai, J.H.: Rough sets and Brouwer-Zadeh lattices. In: Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.) RSKT 2006. LNCS (LNAI), vol. 4062, pp. 200–207. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  25. Dai, J.H., Lv, H.F., Chen, W.D.: Two kinds of rough algebras and Brouwer-Zadeh lattices. In: Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S., Słowiński, R. (eds.) RSCTC 2006. LNCS (LNAI), vol. 4259, pp. 99–106. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  26. Dai, J.H.: Logic for rough sets with rough double stone algebraic semantics. In: Ślęzak, D., Wang, G., Szczuka, M., Düntsch, I., Yao, Y. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3641, pp. 141–148. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  27. Dai, J.H., Chen, W.D., Pan, Y.H.: Sequent caculus system for rough sets based on rough stone algebras. In: Proc. of IEEE International Conference on Granular Computing, pp. 423–426. IEEE Press, New Jersy (2005)

    Google Scholar 

  28. Dai, J.H.: Generalization of rough set theory using molecular lattices. Journal of Computers 27, 1436–1440 (2004)

    Google Scholar 

  29. Dai, J.H.: Structure of rough approximations based on molecular lattices. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds.) RSCTC 2004. LNCS (LNAI), vol. 3066, pp. 69–77. Springer, Heidelberg (2004)

    Google Scholar 

  30. Dai, J.H., Pan, Y.H.: Acqusition algorithm of decision rules based on classification consistency ratio. Control and Decision 19, 1086–1090 (2004)

    MathSciNet  Google Scholar 

  31. Deng, D.Y., Huang, H.K., Li, X.J.: Comparison of various types of reductions in inconsistent systems. Acta Electronica Sinica 35, 252–255 (2007)

    Google Scholar 

  32. Deng, D.Y., Huang, H.K.: A new discernibility matrix and function. In: Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.) RSKT 2006. LNCS (LNAI), vol. 4062, pp. 114–121. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  33. Deng, D.Y.: Research on data reduction based on rough sets and extension of rough set models. A Dissertation of Beijing Jiaotong University, pp. 162–165 (2007)

    Google Scholar 

  34. Deng, W., Wang, G.Y., Wu, Y.: A survey of granular computing. Computer Science 31, 178–181 (2004)

    Google Scholar 

  35. Deng, W., Wang, G.Y., Wu, Y.: A rule acquisition algorithm of granular computing based on approximate partition. In: Proceedings of 2005 National Conference on Artificial Intelligence (CAAI-11), Wuhan, pp. 690–695 (2005)

    Google Scholar 

  36. Deng, W., Wang, G.Y., Wu, Y.: An improved algorithm of evolutionary computation based on granular computing. Computer Science 31, 209–211, 214 (2004)

    Google Scholar 

  37. Deng, W.B., Wang, G.Y., Wang, Y.: Weighted naive bayes classification algorithm based on rough set. Computer Science 34, 204–206, 219 (2007)

    Google Scholar 

  38. Feng, L., Wang, G.Y.: Knowledge acquisition in vague information systems. In: Proc. of 2006 Int. Conf. on Artificial Intelligence, Beijing, pp. 533–537 (2006)

    Google Scholar 

  39. Feng, L., Wang, G.Y., Liu, Y., Zhu, Z.G.: Knowledge acquisition in vague objective information systems. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds.) FSKD 2006. LNCS (LNAI), vol. 4223, pp. 344–354. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  40. Gan, Q., Wang, G.Y., Hu, J.: A self-learning model based on granular computing. In: 2006 IEEE International Conference on Granular Computing, IEEE GrC 2006, Atlanta, Georgia, USA, pp. 530–533 (2006)

    Google Scholar 

  41. Gong, X., Wang, G.Y.: Illustrating the algebra view of rough ret theory with information view. Computer Science 33, 151–154 (2006)

    Google Scholar 

  42. Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S., Słowiński, R. (eds.): RSCTC 2006. LNCS (LNAI), vol. 4259. Springer, Heidelberg (2006)

    MATH  Google Scholar 

  43. Guo, Z.X., Mi, J.S.: Uncertainty measures in rough fuzzy sets. Fuzzy Systems and Mathematics 19, 135–140 (2005)

    MathSciNet  Google Scholar 

  44. Hou, L.J., Wang, G.Y., Wu, Y., Nie, N.: Discretization in rough set theory. Computer Science 27, 89–94 (2000)

    Google Scholar 

  45. Hu, F., Wang, G.Y.: Analysis of the complexity of quick sort for two dimension table. Chinese Journal of Computers 30, 693–698 (2007)

    Google Scholar 

  46. Hu, F., Wang, G.Y.: Quick reduction algorithm based on attribute order. Chinese Journal of Computers 30, 1429–1435 (2007)

    MathSciNet  Google Scholar 

  47. Hu, F., Wang, G.Y., Xia, Y.: Attribute core computation based on divide and conquer method. In: Kryszkiewiczet, M., et al. (eds.) RSEISP 2007. LNCS (LNAI), vol. 4585, pp. 310–319. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  48. Hu, F., Wang, G.Y., Huang, H., Wu, Y.: Incremental attribute reduction based on elementary sets. In: Ślęzak, D., Wang, G., Szczuka, M., Düntsch, I., Yao, Y. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3641, pp. 185–193. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  49. Hu, F., Huang, H., Wang, G.Y., Wu, Y.: Granular computing in incomplete information systems. Mini-micro Systems 26, 1335–1339 (2005)

    Google Scholar 

  50. Hu, F., Huang, H., Wang, G.Y., Wu, Y.: A granular computing model based on tolerance relation. Computer Science 31, 48–50 (2004)

    Google Scholar 

  51. Hu, J., Wang, G.Y., Zhang, Q.H.: Uncertainty measure of covering generated rough set. In: 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2006 Workshops) (WI-IATW 2006), pp. 498–504 (2006)

    Google Scholar 

  52. Hu, J., Wang, G.Y., Zhang, Q.H., Liu, X.Q.: Approximation operators based on general relation. Computer Science 33, 60–62, 69 (2006)

    Google Scholar 

  53. Hu, J., Wang, G.Y., Zhang, Q.Z., Liu, X.Q.: Attribute reduction based on granular computing. In: Greco, S., et al. (eds.) RSCTC 2006. LNCS (LNAI), vol. 4259, pp. 458–466. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  54. Hu, Q.H., Yu, D.R., Xie, Z.X.: Information-preserving hybrid data reduction based on fuzzy-rough techniques. Pattern recognition letters 27, 414–423 (2006)

    Article  Google Scholar 

  55. Hu, Q.H., Zhao, H., Xie, Z.X., Yu, D.R.: Consistency based attribute reduction. In: Zhou, Z.-H., Li, H., Yang, Q. (eds.) PAKDD 2007. LNCS (LNAI), vol. 4426, pp. 96–107. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  56. Hu, Q.H., Wang, M.Y., Yu, D.R.: Construct rough decision forests based on sequentially data reduction. In: 2006 IEEE Conference on machine learning and cybernetics, Dalian, China, August 2006, pp. 13–16 (2006)

    Google Scholar 

  57. Hu, Q.H., Li, X.D., Yu, D.R.: Analysis on classification performance of rough set based reducts. In: Yang, Q., Webb, G. (eds.) PRICAI 2006. LNCS (LNAI), vol. 4099, pp. 423–433. Springer, Heidelberg (2006)

    Google Scholar 

  58. Hu, Q.H., Xie, Z.X., Yu, D.R.: Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation. Pattern Recognition, 3509–3521 (2007)

    Google Scholar 

  59. Hu, Q.H., Xie, Z.X., Yu, D.R.: Weighting algorithm for text classification based on rough set approach. Journal of the China society for scientific and technical information 24, 59–63 (2005)

    Google Scholar 

  60. Hu, Q.H., Yu, D.R., Xie, Z.X.: Fuzzy probabilistic approximation spaces and their information measures. IEEE transactions on fuzzy systems 14, 191–201 (2006)

    Article  Google Scholar 

  61. Hu, Q.H., Yu, D.R., Wang, M.Y.: Constructing rough decision forests. In: Ślęzak, D., Yao, J., Peters, J.F., Ziarko, W., Hu, X. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3642, pp. 147–156. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  62. Hu, X.G., Shi, J.H., Wu, X.D.: A new algorithm for attribute reduction in decision tables. In: An, A., Stefanowski, J., Ramanna, S., Butz, C.J., Pedrycz, W., Wang, G. (eds.) RSFDGrC 2007. LNCS (LNAI), vol. 4482, pp. 37–46. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  63. Huang, B., Zhou, X.Z., Hu, Z.J.: A variable precision rough set model in incomplete information systems. Journal of North University of China 27, 283–287 (2006)

    Google Scholar 

  64. Huang, H., Wang, G.Y., Hu, F., Wu, Y.: An incremental attribute reduction algorithm. Computer Science 32, 13–15 (2005)

    Article  Google Scholar 

  65. Huang, H., Wang, G.Y., Wu, Y.: Direct reduction method for incomplete information system. Mini-micro Systems 26, 1761–1765 (2005)

    Google Scholar 

  66. Huang, H., Wang, G.Y., Wu, Y.: A direct approach for incomplete information systems, in Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI. In: Dasarathy, B.V. (ed.) Proceedings of SPIE, vol. 5433, pp. 114–121 (2004)

    Google Scholar 

  67. Huang, H., Wang, G.Y., Wu, Y.: A direct approach for incomplete information systems. In: The 13th National Conference on Neural Networks, pp. 349–354 (2003)

    Google Scholar 

  68. Jia, X.Y., Shang, L.: An Incremental Updating Algorithm for Core Computing in Dominance-based Rough Set Model. In: An, A., Stefanowski, J., Ramanna, S., Butz, C.J., Pedrycz, W., Wang, G. (eds.) RSFDGrC 2007. LNCS (LNAI), vol. 4482, pp. 403–410. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  69. Jiang, C.Z.: Rough set multiple attribute decision making theories and methods. Southwest Jiaotong University Press, Sichuan (2007)

    Google Scholar 

  70. Jiang, C.Z., et al.: The research of rough evaluation system to the project manager’s quality. Chinese Journal Of Management Science 14, 207–210 (2006)

    Google Scholar 

  71. Leung, Y., Li, D.Y.: Maximal consistent block technique for rule acquisition in incomplete information systems. Information Sciences: An International Journal 153, 85–106 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  72. Leung, Y., Wu, W.Z., Zhang, W.X.: Knowledge acquisition in incomplete information systems: a rough set approach. European Journal of Operational Research 168, 164–180 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  73. Li, D.G.: Study of Information granule-Computing theory-Model and Application. Shanxi Science & Technology Press, Shanxi (2006)

    Google Scholar 

  74. Li, D.G.: Research on granular computing models and their applications in intelligence information Processing, [Ph.D Dissertations], Tongji University (2006)

    Google Scholar 

  75. Li, D.G., Miao, D.Q., Zhang, D.X., Zhang, H.Y.: An overview of granular computing. Computer Science 32, 1–12 (2005)

    Article  Google Scholar 

  76. Li, D.G., Miao, D.Q., Du, W.L.: Application of granular computing to artificial neural network. Journal of Tongji University (Natural Science) 34, 960–964 (2006)

    MATH  MathSciNet  Google Scholar 

  77. Li, D.Y., Ma, Y.C.: Invariant characters of information systems under some homomorphisms. Information Sciences: An International Journal 129, 211–220 (2000)

    MATH  MathSciNet  Google Scholar 

  78. Li, D.Y., Zhang, B., Leung, Y.: On knowledge reduction in inconsistent decision information systems. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems 12, 651–672 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  79. Li, H.R., Zhang, W.X.: Applying indiscernibility attribute sets to knowledge reduction. In: Zhang, S., Jarvis, R. (eds.) AI 2005. LNCS (LNAI), vol. 3809, pp. 816–821. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  80. Li, H.R., Zhang, W.X., Xu, P., Wang, H.: Rough set attribute reduction of decision systems. In: Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.) RSKT 2006. LNCS (LNAI), vol. 4062, pp. 135–140. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  81. Li, T.J.: Rough approximation operators in covering approximation space. In: Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S., Słowiński, R. (eds.) RSCTC 2006. LNCS (LNAI), vol. 4259, pp. 174–182. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  82. Li, T.J., Ma, J.M.: Fuzzy approximation operators based on coverings. In: An, A., Stefanowski, J., Ramanna, S., Butz, C.J., Pedrycz, W., Wang, G. (eds.) RSFDGrC 2007. LNCS (LNAI), vol. 4482, pp. 55–62. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  83. Li, T.J., Zhang, W.X., Ma, J.M.: Attribute reductions and attribute features of formal contexts based on a type of rough sets. Computer Science 33, 178–180 (2006)

    Google Scholar 

  84. Li, T.J.: On axiomatic characterization of approximation operators based on atomic Boolean algebras. In: Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.) RSKT 2006. LNCS (LNAI), vol. 4062, pp. 129–134. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  85. Li, T.J., Zhang, W.X., Yang, X.P.: Axiomatic characterization of generalized fuzzy approximation operators. Fuzzy Systems and Mathematics 20, 122–128 (2006)

    MathSciNet  Google Scholar 

  86. Li, T.R., Ruan, D., wets, Greet, Song, J., Xu, Y.: A rough sets based characteristic relation approach for dynamic attribute generalization in data mining. Knowledge-based Systems 20, 485–494 (2007)

    Google Scholar 

  87. Li, X.J., Tian, S.F., Deng, D.Y., Chen, J.N.: A method of multi-agent system conflict analysis based on rough set theory. In: International Conference on Granular Computing (IEEE), vol. 2, pp. 180–184 (2005)

    Google Scholar 

  88. Li, Y.L.: Boundary of sets in pansystems information system Kybernetes. The International Journal of Systems and Cybernetics 26, 596–601 (1997)

    Article  MATH  Google Scholar 

  89. Li, Y.L., Liu, Y., Wang, X.Y., Lin, H.: An initial comparison of fuzzy sets and rough sets from the view of pan-systems theory. In: Proceeding of 2005 IEEE International Conference on Granular Computing, vol. 2, pp. 520–525 (2005)

    Google Scholar 

  90. Li, Z., Wu, Y., Wang, G., Hai, Y., He, Y.: A new framework for intrusion detection based on rough set theory, in Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI. In: Dasarathy, B.V. (ed.) Proceedings of SPIE, vol. 5433, pp. 122–130 (2004)

    Google Scholar 

  91. Li, Z.J., Wang, G.Y., Wu, Y.: An e-mail classification system based on rough set. Computer Science 31, 58–60, 66 (2004)

    Google Scholar 

  92. Liang, J.Y., Li, D.Y.: Uncertainty and knowledge acquisition in information systems. Science Press, Beijing, China (2005)

    Google Scholar 

  93. Liang, J.Y., Shi, Z.Z., Li, D.Y.: Applications of inclusion degree in rough set theory. International Journal of Computational Cognition 1, 67–78 (2003)

    Google Scholar 

  94. Liang, J.Y., Shi, Z.Z., Li, D.Y., Wierman, W.J.: The information entropy, rough entropy and knowledge granulation in incomplete information systems. International Journal of General Systems 35, 641–654 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  95. Liang, J.Y., Shi, Z.Z.: The information entropy, rough entropy and knowledge granulation in rough set theory. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12, 37–46 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  96. Liang, J.Y., Chin, K.S., Dang, C.Y., Yam, Richard, C.M.: A new method for measuring uncertainty and fuzziness in rough set theory. International Journal of General Systems 31, 331–342 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  97. Liang, J.Y., Xu, Z.B.: The algorithm on knowledge reduction in incomplete information systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 24, 95–103 (2002)

    Article  MathSciNet  Google Scholar 

  98. Liang, J.Y., Qian, Y.H., Chu, C.Y., Li, D.Y., Wang, J.H.: Rough set approximation based on dynamic granulation. In: Ślęzak, D., Wang, G., Szczuka, M., Düntsch, I., Yao, Y. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3641, pp. 701–708. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  99. Liao, L., Wang, G.Y., Nie, N., Wu, Y.: A knowledge discovery model and its quantification and implementation based on rough set. Computer Science 28, 27–30 (2001)

    Google Scholar 

  100. Lin, T.Y.: Granular computing: structures, representations, applications and future directions. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds.) RSFDGrC 2003. LNCS (LNAI), vol. 2639, pp. 16–24. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  101. Lin, T.Y.: From Rough Sets to Soft Computing: Introduction. Information Sciences 104, 1–2 (1998)

    Article  Google Scholar 

  102. Lin, T.Y.: Neighborhood systems and relational database. In: Proceedings of CSC 1988, pp. 725–726 (1988)

    Google Scholar 

  103. Lin, T.Y.: Granular Computing on binary relations I: Data Mining and Neighborhood Systems. In: Skowron, A., Polkowski, L. (eds.) II: Rough Set Representations and Belief Functions, Rough Sets In Knowledge Discovery, pp. 107–140. Physica-Verlag (1998)

    Google Scholar 

  104. Lin, T.Y.: Data mining: granular computing approach. In: Zhong, N., Zhou, L. (eds.) PAKDD 1999. LNCS (LNAI), vol. 1574, pp. 24–33. Springer, Heidelberg (1999)

    Google Scholar 

  105. Lin, T.Y.: Granular computing: Fuzzy logic and rough sets. In: Zadeh, Kacprzyk (eds.) Computing with Words in Information/Intelligent Systems, pp. 183–200. Physica-Verlag (1999)

    Google Scholar 

  106. Lin, T.Y.: Granular Computing Rough Set Perspective. IEEE connections, The newsletter of the IEEE Computational Intelligence Society 2, 1543–4281 (2005)

    Google Scholar 

  107. Lin, T.Y.: Granular Computing: A Problem Solving Paradigm. In: The Proceedings of the 2005 IEEE International Conference on Fuzzy Systems, Atlantis Casino Resort Reno, Nevada, USA, pp. 2132–2137 (2005)

    Google Scholar 

  108. Lin, T.Y., Liu, Q.: First Order Rough Logic 1: Approximate Reasoning Via Rough Sets. Fundamenta Informaticae 27, 137–154 (1996)

    MATH  MathSciNet  Google Scholar 

  109. Lin, T.Y., Liu, Q.: First order rough logic I: Approximate reasoning via rough sets. Fundamenta Informatica 27, 137–154 (1996)

    MATH  MathSciNet  Google Scholar 

  110. Liu, G.L.: The axiom systems of rough fuzzy sets on fuzzy approximation spaces. Chinese Journal of Computers 27, 1189–1191 (2004)

    Google Scholar 

  111. Liu, J.Q., Shi, K.Q.: Information rough communication based on rough sets. Journal of Systems engineering and Electronics 29, 437–442 (2007)

    MATH  Google Scholar 

  112. Liu, J.Q.: A new fuzzy rough communication model and its application. In: The 3rd International Conference on Natural Computational and the 4th International Conference on Fuzzy Systems and Knowledge Discovery, vol. 1, pp. 62–66 (2007)

    Google Scholar 

  113. Liu, J.Q.: A fuzzy rough communication model and its properties. In: IEEE proceedings of the Sixth International Conference on Machine Learning and Cybernetic, vol. 7, pp. 3699–3703 (2007)

    Google Scholar 

  114. Liu, J.Q., Shi, K.Q.: Dynamic rough communication. An International Journal Advances in Systems Sciences and Applications (accepted, 2007)

    Google Scholar 

  115. Liu, Q., Huang, Z.H.: Rough theory: present state and perspective. Computer Science 24, 1–5 (1997)

    MathSciNet  Google Scholar 

  116. Liu, Q.: Rough Set and Rough Reasoning. Science Press, Beijing (2003)

    Google Scholar 

  117. Liu, Q., Min, F., Cai, H., Yang, G.: Converting decision tables. In: 11th World Congress of international Fuzzy Systems Association, pp. 1391–1396 (2005)

    Google Scholar 

  118. Liu, Q.: Operator rough logic and its resolution principle. Chinese Journal of Computers 21, 435–476 (1998)

    Google Scholar 

  119. Liu, Q., Liu, S.H., Zheng, F.: Rough logic and its applications in data mining. Journal of Software 12, 415–419 (2001)

    Google Scholar 

  120. Liu, Q., Liu, S.H., Zheng, F.: Rough logic and its applications in data reduction. Journal of Software 12, 415–419 (2001)

    Google Scholar 

  121. Liu, Q.: Neighborhood logic and its data reasoning on neighborhood-valued information table. Chinese Journal of Computers 24, 405–410 (2001)

    Google Scholar 

  122. Liu, Y., Wang, G.Y., Feng, L.: A general model for transforming vague sets into fuzzy sets. In: Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.) RSKT 2006. LNCS (LNAI), vol. 4062, pp. 341–348. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  123. Liu, Z.H., Liu, S.Y., Wang, J.: An attribute reduction algorithm based on the information quantity. Journal of Xi’an University 30, 835–838 (2003)

    Google Scholar 

  124. Ma, J.M., Zhang, W.X., Wang, X.: Dependence space of concept lattices based on rough set. In: Proceedings of the 2006 IEEE International Conference on Granular Computing, GrC 2006, pp. 200–204 (2006)

    Google Scholar 

  125. Ma, J.M., Zhang, W.X., Li, T.J.: A covering model of granular computing. In: The Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, pp. 1625–1630 (2005)

    Google Scholar 

  126. Mi, J.S., Zhang, W.X.: Indirect learning based on rough set theory. Computer Science 29, 96–97, 104 (2002)

    Google Scholar 

  127. Mi, J.S., Zhang, W.X.: Composition of general fuzzy approximation spaces. In: Pal, N.R., Sugeno, M. (eds.) AFSS 2002. LNCS (LNAI), vol. 2275, pp. 497–501. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  128. Mi, J.S., Zhang, W.X.: An axiomatic characterization of a fuzzy generalization of rough sets. Information Sciences 160, 235–249 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  129. Mi, J.S., Wu, W.Z., Zhang, W.X.: Knowledge reductions within the variable precision rough sets model. Information Sciences 159, 255–272 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  130. Mi, J.S., Wu, W.Z., Zhang, W.X.: Approaches to approximation reducts in inconsistent decision table. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds.) RSFDGrC 2003. LNCS (LNAI), vol. 2639, pp. 283–286. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  131. Mi, J.S., Guo, Z.X., Feng, T., Zhao, H.Y.: Uncertainty in generalized fuzzy rough sets. In: Proceedings of IEEE International Conference on Granular Computing, July 2005, pp. 213–216 (2005)

    Google Scholar 

  132. Mi, J.S., Leung, Y., Wu, W.Z.: An uncertainty measure in partition-based fuzzy rough sets. International Journal of General Systems 34, 77–90 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  133. Mi, J.S., Wu, W.Z., Zhang, W.X.: Constructive and axiomatic approaches for the study of the theory of rough sets. Pattern Recognition and Artificial Intelligence 15, 280–284 (2002)

    Google Scholar 

  134. Mi, J.S., Zhang, W.X.: An axiomatic characterization of a fuzzy generalization of rough sets. Information Sciences 160, 235–249 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  135. Mi, J.S., Wu, W.Z., Zhang, W.X.: Knowledge reducts based on variable precision rough set theory. Systems Engineering Theory & Practice 24, 76–82 (2004)

    Google Scholar 

  136. Miao, D.Q., Wang, G.Y., Liu, Q., Lin, T.Y., Yao, Y.Y.: Granular Computing: Past, Present and Future Prospects. Science Press, Beijing (2007)

    Google Scholar 

  137. Miao, D.Q., Wang, J.: On the relationships between information entropy and roughness of knowledge in rough set theory. Pattern Recognition and Artificial Intelligence 11, 34–40 (1998)

    Google Scholar 

  138. Miao, D.Q., Wang, J.: An information representation of the concepts and operations in rough set theory. Journal of Software 10, 113–116 (1999)

    Google Scholar 

  139. Miao, D.Q., Hou, L.S.: A comparison of rough set methods and representative inductive learning algorithms. Fundamenta informaticae 59, 203–219 (2004)

    MATH  MathSciNet  Google Scholar 

  140. Miao, D.Q., Wang, J.: A new method of discretization of continuous attributes in rough sets. In: Proceedings of Chinese Intelligence Automatization Academic Conference, Shanghai, pp. 838–843 (1998)

    Google Scholar 

  141. Miao, D.Q., Hou, L.S.: A heuristic algorithm for reduction of knowledge based on discernibility matrix. In: International Conference on Intelligent Information Technology (ICIIT 2002), Beijing, China, September 22-25, pp. 276–279 (2002)

    Google Scholar 

  142. Miao, D.Q., Wang, J.: Information-based algorithm for reduction of knowledge. In: Proceedings of the 1997 IEEE International Conference on Intelligent Processing Systems, ICIPS 1997, Beijing, China, October 28-31, vol. 2, pp. 1155–1158 (1997)

    Google Scholar 

  143. Miao, D.Q., Wang, J.: Rough sets based approach form multivariate decision tree construction. Journal of Software 8, 425–431 (1997)

    Google Scholar 

  144. Miao, D.Q., Li, D.G., Fan, S.D.: Fuzzy rough set and its improvement. In: Proceedings of GrC 2005 IEEE International Conference on Granular Computing, Beijing, China, vol. 1, pp. 17–20. IEEE press, Los Alamitos (2005)

    Google Scholar 

  145. Min, F., Bai, Z., He, M., Liu, Q.: The reduct problem with specified attributes. In: Rough Sets and Soft Computing in Intelligent Agent and Web Technology, International Workshop at WI-IAT 2005, pp. 36–42 (2005)

    Google Scholar 

  146. Min, F., Liu, Q., Tan, H., Chen, L.: The M-relative reduct problem. In: Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.) RSKT 2006. LNCS (LNAI), vol. 4062, pp. 170–175. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  147. Pal, S.K., Shankar, B.: Granular computing, rough entropy and object extraction. Pattern Recognition Letters 26, 2509–2517 (2005)

    Article  Google Scholar 

  148. Pal, S.K.: Soft data mining, computational theory of perceptions, and rough-fuzzy approach. Information Sciences 163, 5–12 (2004)

    Article  Google Scholar 

  149. Pal, S.K., Mitra, P.: Rough Fuzzy MLP: Modular Evolution, Rule Generation and Evaluation. IEEE Transactions on Knowledge and Data Engineering 15, 14–25 (2003)

    Article  Google Scholar 

  150. Pal, S.K., Mitra, P.: Case Generation Using Rough Sets with Fuzzy Representation. IEEE Trans. Knowledge and Data Engineer 16, 292–300 (2004)

    Article  Google Scholar 

  151. Pawlak, Z.: Rough set. International Journal of Computer and Information Sciences 11, 341–356 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  152. Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht (1991)

    MATH  Google Scholar 

  153. Pawlak, Z.: Decision Networks. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds.) RSCTC 2004. LNCS (LNAI), vol. 3066, pp. 1–7. Springer, Heidelberg (2004)

    Google Scholar 

  154. Pawlak, Z.: Decision Trees and Flow Graphs. In: Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S., Słowiński, R. (eds.) RSCTC 2006. LNCS (LNAI), vol. 4259, pp. 1–11. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  155. Pawlak, Z.: Flow Graphs and Decision Algorithms. In: International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2003), Chongqing, China, vol. 2639, pp. 1–10 (2003)

    Google Scholar 

  156. Pawlak, Z.: Rough Sets and Flow Graphs. In: Ślęzak, D., Wang, G., Szczuka, M., Düntsch, I., Yao, Y. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3641, pp. 1–11. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  157. Pawlak, Z.: Probability, Truth and Flow Graph. In: Proceedings of The International Workshop on Rough Sets in Knowledge Discovery and Soft Computing (RSKD 2003), Warsaw, Poland, April 2003, pp. 1–9 (2003)

    Google Scholar 

  158. Pawlak, Z., Skowron, A.: Rudiments of rough sets. Information Sciences 177, 3–27 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  159. Pawlak, Z., Skowron, A.: Rough sets: Some extensions. Information Sciences 177, 28–40 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  160. Pawlak, Z., Skowron, A.: Rough sets and Boolean reasoning. Information Sciences 177, 41–73 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  161. Pawlak, Z.: Some remarks on conflict analysis. European Journal of Operational Research 166, 649–654 (2005)

    Article  MATH  Google Scholar 

  162. Pawlak, Z.: Flow Graphs and Data Mining. Transactions on Rough Sets III 3, 1–36 (2005)

    Article  MathSciNet  Google Scholar 

  163. Pawlak, Z., Peters, James, F., Skowron, A.: Approximating functions using rough sets. In: North American Fuzzy Information Processing Society (NAFI 2004), Banff, Alberta, pp. 358–371 (2004)

    Google Scholar 

  164. Pawlak, Z.: Decision Rules and Dependencies. Fundamenta Informaticae 60, 33–39 (2004)

    MATH  MathSciNet  Google Scholar 

  165. Pawlak, Z.: Rough sets, decision algorithms and Bayes’ theorem. European Journal of Operational Research 136, 181–189 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  166. Pawlak, Z.: Rough sets and intelligent data analysis. Information Sciences: An International Journal 147, 1–12 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  167. Pawlak, Z.: Theorize with Data Using Rough Sets. In: Proceedings of the 26th International Computer Software and Applications Conference on Prolonging Software Life: Development and Redevelopment, pp. 1125–1128 (2002)

    Google Scholar 

  168. Pedrycz, W., Bargiela, A.: Fuzzy Fractal Dimensions and Fuzzy Modeling. Information Sciences 153, 199–216 (2003)

    Article  MATH  Google Scholar 

  169. Peters, J.F., Skowron, A.: Some Contributions by Zdzislaw Pawlak. In: Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.) RSKT 2006. LNCS (LNAI), vol. 4062, pp. 1–11. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  170. Peters, J.F., Skowron, A., Stepaniuk, J.: Nearness in Approximation Spaces. In: Proceedings of the Workshop in Concurrency, Specification and Programming (CS&P 2006), pp. 434–445 (2006)

    Google Scholar 

  171. Pomykala, J.: The Stone Algebra of Rough Sets. Bull. Polish Academy of Sciences Math 36, 495–508 (1998)

    MathSciNet  Google Scholar 

  172. Pomykala, J.: Approximation, Similarity and Rough Constructions, ILLC Prepublication Series CT-93-07, University of Amsterdam (1993)

    Google Scholar 

  173. Qian, Y.H., Liang, J.Y., Zhang, X., Dang, C.Y.: Rough set approach under dynamic granulation in incomplete information systems. Lecture Note in Artificial Intelligence, vol. 4827, pp. 1–8. Springer, Heidelberg (2007)

    Google Scholar 

  174. Qian, Y.H., Liang, J.Y.: Evaluation method for decision rule sets. In: An, A., Stefanowski, J., Ramanna, S., Butz, C.J., Pedrycz, W., Wang, G. (eds.) RSFDGrC 2007. LNCS (LNAI), vol. 4482, pp. 272–279. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  175. Qian, Y.H., Liang, J.Y., Deyu, L., Haiyun, Z., Chuangyin, D.: Measures for evaluating the decision performance of a decision table in rough set theory. Information Sciences 178, 181–202 (2008)

    Article  MATH  Google Scholar 

  176. Qian, Y.H., Liang, J.Y.: Combination entropy and combination granulation in incomplete information system. In: Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.) RSKT 2006. LNCS (LNAI), vol. 4062, pp. 184–190. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  177. Qin, K.Y., Zheng, P.: The relationship among several knowledge reduction approaches. In: Wang, L., Jin, Y. (eds.) FSKD 2005. LNCS (LNAI), vol. 3613, pp. 1232–1241. Springer, Heidelberg (2005)

    Google Scholar 

  178. Qin, K.Y., Du, W.F.: The logical characteristics of knowledge reduction approaches. Computer Engineering and Applications 42, 7–9 (2006)

    Google Scholar 

  179. Qin, K.Y., Zheng, P.: On the topological properties of fuzzy rough sets. Fuzzy Sets and Systems 151, 601–613 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  180. Qin, K.Y., Gao, Y., Zheng, P.: On covering rough sets. In: Yao, J., Lingras, P., Wu, W.-Z., Szczuka, M., Cercone, N.J., Ślȩzak, D. (eds.) RSKT 2007. LNCS (LNAI), vol. 4481, pp. 34–41. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  181. Qin, Z.R., Wu, Y., Wang, G.Y.: A partition algorithm for huge data sets based on rough set. Pattern Recognition and Artificial Intelligence 19, 249–256 (2006)

    Google Scholar 

  182. Qin, Z.R., Wang, G.Y., Wu, Y., Xue, X.R.: A scalable rough set knowledge reduction algorithm. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds.) RSCTC 2004. LNCS (LNAI), vol. 3066, pp. 445–454. Springer, Heidelberg (2004)

    Google Scholar 

  183. Qu, K.S., Zhai, Y.H., Liang, J.Y., Li, D.Y.: Representation and Extension of Rough Set Theory Based on Formal Concept Analysis. Journal of Software 18, 2174–2182 (2007)

    Article  MATH  Google Scholar 

  184. Qu, K.S., Zhai, Y.H., Liang, J.Y., Chen, M.: Study of decision implications based on formal concept analysis. International Journal of General Systems 36, 147–156 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  185. Qu, K.S., Zhai, Y.H.: Posets, inclusion degree theory and FCA 29, 219–226 (2006)

    Google Scholar 

  186. Ramanna, S., Peters, J.F., Skowron, A.: Generalized Conflict and Resolution Model with Approximation Spaces. In: Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S., Słowiński, R. (eds.) RSCTC 2006. LNCS (LNAI), vol. 4259, pp. 274–283. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  187. Ramanna, S., Peters, J.F., Skowron, A.: Approaches to Conflict Dynamics Based on Rough Sets. Fundamenta Informaticae 75, 453–468 (2007)

    MATH  MathSciNet  Google Scholar 

  188. Saha, S., Murthy, C.A., Pal, S.K.: Rough Set Based Ensemble Classifier for Web Page Classification. Fundamenta Informaticae 76, 171–187 (2007)

    MathSciNet  Google Scholar 

  189. Sai, Y., Yao, Y.Y.: Analyzing and mining ordered information tables. Journal of Computer Science & Technology 18, 771–779 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  190. Sai, Y., Yao, Y.Y.: Data analysis and mining in ordered information tables. In: Proceedings of the 2001 IEEE International Conference on Data Mining, ICDM 2001, San Jose, California, USA, vol. 2, pp. 497–504. Springer, Heidelberg (2001)

    Google Scholar 

  191. Sai, Y., Chen, W.W.: Design and implementation of a rough set data mining approach MIF-RS. Mini-Micro Systems 22, 565–567 (2001)

    Google Scholar 

  192. Shang, L., Wang, J.G., Yao, W.S., Chen, S.F.: A classification approach bBased on evolutionary neural networks. Journal of Software 16, 1577–1583 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  193. Shao, M.W., Liu, M., Zhang, W.X.: Rough fuzzy set approximations in fuzzy formal contexts. In: Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S., Słowiński, R. (eds.) RSCTC 2006. LNCS (LNAI), vol. 4259, pp. 137–146. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  194. Shao, M.W., Zhang, W.X.: Approximation in formal concept analysis. In: Ślęzak, D., Wang, G., Szczuka, M., Düntsch, I., Yao, Y. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3641, pp. 43–53. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  195. Shi, K.Q., Cui, Y.Q.: S-rough set and rough decision making. Science Press, Beijing (2006)

    Google Scholar 

  196. Shi, K.Q., Cui, Y.Q.: S-Rough Set and Its General Structures. Journal of Shandong University 37, 471–474 (2002)

    MATH  MathSciNet  Google Scholar 

  197. Shi, K.Q.: S-rough sets and knowledge separation. Journal of Systems Engineering and Electronics, 403–410 (2005)

    Google Scholar 

  198. Shi, K.Q., Chang, T.C.: One direction S-rough sets. International Journal of Fuzzy Mathematics, 319–334 (2005)

    Google Scholar 

  199. Shi, K.Q.: Function S-rough sets and function transfer. International Journal Advances in Systems Sciences and Applications 5, 1–8 (2005)

    Google Scholar 

  200. Skowron, A., Peters, J.F., Pawlak, Z.: Commemorating His Life and Work. In: Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S., Słowiński, R. (eds.) RSCTC 2006. LNCS (LNAI), vol. 4259, pp. 49–52. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  201. Skowron, A., Peters, J.F.: Rough Sets: Trends and Challenges. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds.) RSFDGrC 2003. LNCS (LNAI), vol. 2639, pp. 25–34. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  202. Skowron, A., Ramanna, S., Peters, J.F.: Conflict Analysis and Information Systems: A Rough Set Approach. In: Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.) RSKT 2006. LNCS (LNAI), vol. 4062, pp. 233–240. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  203. Skowron, A., Komorowski, H.J., Pawlak, Z., Polkowski, L.T.: A rough set perspective on data and knowledge. In: Handbook of Data Mining and Knowledge Discovery, pp. 134–149. Oxford University Press, Oxford (2002)

    Google Scholar 

  204. Skowron, A., Stepaniuk, J., Peters, J.F.: Calculi of Approximation Spaces. Fundamenta Informaticae 72, 363–378 (2006)

    MATH  MathSciNet  Google Scholar 

  205. Skowron, A.: Rough Sets and Vague Concepts. Fundamenta Informaticae 64, 417–431 (2005)

    MATH  MathSciNet  Google Scholar 

  206. Skowron, A., Pal, S.K.: Special Issue: Rough Sets, Pattern Recognition and Data Mining. Pattern Recognition Letters 24, 829–831 (2003)

    Article  Google Scholar 

  207. Skowron, A.: Tolerance Approximation Spaces. Fundamenta Informaticae 27, 245–253 (1996)

    MATH  MathSciNet  Google Scholar 

  208. Slezak, D., Wang, G.Y., Szczuka, M.S., Dntsch, I., Yao, Y.Y. (eds.): RSFDGrC 2005. LNCS (LNAI), vol. 3641. Springer, Heidelberg (2005)

    Google Scholar 

  209. Słowiński, R.: Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory. Kluwer Academic Publishers, Dordrecht (1992)

    MATH  Google Scholar 

  210. Song, X.X., Zhang, W.X.: Knowledge reduction and attributes characteristics in set-valued information system. Computer Engineering 32, 26–28 (2006)

    Google Scholar 

  211. Synak, P., Bazan, J.G., Skowron, A., Peters, J.F.: Spatio-Temporal Approximate Reasoning over Complex Objects. Fundamenta Informaticae 67, 249–269 (2005)

    MATH  MathSciNet  Google Scholar 

  212. Tsumot, S., Słowiński, R., Komorowski, H.J., Grzymala-Busse, J.W.: RSCTC 2004. LNCS (LNAI), vol. 3066. Springer, Heidelberg (2004)

    Google Scholar 

  213. Wang, G.Y., Liu, Q., Yao, Y.Y., Skowron, A. (eds.): RSFDGrC 2003. LNCS (LNAI), vol. 2639. Springer, Heidelberg (2003)

    MATH  Google Scholar 

  214. Wang, G.Y., Peters, J.F., Skowron, A., Yao, Y.Y. (eds.): RSKT 2006. LNCS (LNAI), vol. 4062. Springer, Heidelberg (2006)

    MATH  Google Scholar 

  215. Wang, G.Y.: Rough Set Theory and Knowledge Discovery. Xi’an Jiaotong University Press, Xi’an (2001)

    Google Scholar 

  216. Wang, G.Y., Zhao, J., An, J.J., Wu, Y.: A comparative study of algebra viewpoint and information viewpoint in attribute reduction. Fundamenta Informaticae 68, 289–301 (2005)

    MATH  MathSciNet  Google Scholar 

  217. Wang, G.Y.: Rough reduction in algebra view and information view. International Journal of Intelligent systems 18, 679–688 (2003)

    Article  MATH  Google Scholar 

  218. Wang, G.Y., Zhao, J., An, J.J., Wu, Y.: Theoretical study on attribute reduction of rough set theory: in algebra view and information view. In: 3rd International Conference on Cognitive Informatics, Canada, pp. 148–155 (2004)

    Google Scholar 

  219. Wang, G.Y., An, J.J., Wu, Y.: Quantitative analysis of the difference between the algebra view and information view of rough set theory. Mini-micro Systems 26, 1187–1190 (2005)

    Google Scholar 

  220. Wang, G.Y.: Relationship between the algebra view and information view of rough set, in Data Mining and Knowledge Discovery: Theory, Tools, and Technology V. In: Dasarathy, B.V. (ed.) Proceedings of SPIE, vol. 5098, pp. 103–113 (2003)

    Google Scholar 

  221. Wang, G.Y.: On the relationship between the algebra view and information view of rough set theory. World Science-Technology R&D 24, 20–26 (2002)

    Google Scholar 

  222. Wang, G.Y.: Algebra view and information view of rough sets theory, in Data Mining and Knowledge Discovery: Theory, Tools, and Technology III. In: Dasarathy, B.V. (ed.) Proceedings of SPIE, vol. 4384, pp. 200–207 (2001)

    Google Scholar 

  223. Wang, G.Y.: Attribute core of decision table. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds.) RSCTC 2002. LNCS (LNAI), vol. 2475, pp. 213–217. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  224. Wang, G.Y.: Attribute core of inconsistent decision information systems. Journal of Shanghai Jiaotong University 38, 2094–2098 (2004)

    Google Scholar 

  225. Wang, G.Y., Chen, L.: Attribute core of decision table in the algebra view and information view. WSEAS Transactions on Mathematics 2(1 and 2), 1–6

    Google Scholar 

  226. Wang, G.Y.: On the difference of the core attributes in the algebra view and information view of rough set theory. In: Proceedings of 2003 National Conference on Artificial Intelligence (CAAI-10), pp. 1336–1340 (2003)

    Google Scholar 

  227. Wang, G.Y.: On some problems of rough set in knowledge acquisition. In: Proceedings of 2001 National Conference on Artificial Intelligence, pp. 443–447 (2001)

    Google Scholar 

  228. Wang, G.Y., Yu, H., Yang, D.C.: Decision table reduction based on conditional information entropy. Chinese Journal of Computers 25, 759–766 (2002)

    MathSciNet  Google Scholar 

  229. Wang, G.Y., Yu, H., Yang, D.C., Wu, Z.F.: Knowledge reduction based on rough set and information entropy. In: The 5th World Multi-Conference on systemics, sybernetics and informatics (SCI 2001), pp. 555–560 (2001)

    Google Scholar 

  230. Wang, G.Y., Wu, Y., Fisher, P.S.: Rule generation based on rough set theory, in Data Mining and Knowledge Discovery: Theory, Tools, and Technology II. In: Dasarathy, B.V. (ed.) Proceedings of SPIE, vol. 4057, pp. 181–189 (2000)

    Google Scholar 

  231. Wang, G.Y.: Domain-oriented data-driven data mining (3DM): Simulation of human knowledge understanding. In: WICI International Workshop on. Web Intelligence (WI) meets Brain Informatics (BI) (2006)

    Google Scholar 

  232. Wang, G.Y.: Domain-oriented data-driven data mining based on rough set. In: Proc. Int. Forum on Theory of GrC from Rough Set Perspective (IFTGrCRSP), p. 46 (2006)

    Google Scholar 

  233. Wang, G.Y.: Initiative machine learning based on rough Set. Computer Science 31, 18–20 (2004)

    Google Scholar 

  234. Wang, G.Y., Xiao, H.: A self-learning model under uncertain condition. Journal of Software 14, 1096–1102 (2003)

    MATH  Google Scholar 

  235. Wang, G.Y., He, X.: Initiative learning algorithm based on rough set, in Data Mining and Knowledge Discovery: Theory, Tools, and Technology V. In: Dasarathy, B.V. (ed.) Proceedings of SPIE, vol. 5098, pp. 94–102 (2003)

    Google Scholar 

  236. Wang, G.Y., He, X.: A self-learning model based on rough set. Computer Science 29, 24–26 (2002)

    Google Scholar 

  237. Wang, G.Y.: Extension of rough set under incomplete information systems. Journal of Computer Research and Development 39, 1238–1243 (2002)

    Google Scholar 

  238. Wang, G.Y.: Extension of rough set under incomplete information systems. In: 2002 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1098–1103 (2002)

    Google Scholar 

  239. Wang, G.Y., Yang, S.X.: Rough set based uncertain information processing. Dynamics of Continuous Discrete and Impulsive Systems-Series B-Applications & Algorithms, 410–416 (2005)

    Google Scholar 

  240. Wang, G.Y.: Rough set based uncertain information processing. In: Proceedings of 2005 National Conference on Artificial Intelligence (CAAI-11), Wuhan, vol. 11, p. 53 (2005)

    Google Scholar 

  241. Wang, G.Y.: On some topics of uncertain information processing based on rough set. In: The 12th National Conference on Neural Networks, pp. 56–64 (2002)

    Google Scholar 

  242. Wang, G.Y.: Uncertainty measurement of decision table information systems. Computer Science 28, 23–26 (2001)

    Google Scholar 

  243. Wang, G.Y., Wu, Y., Liu., F.: Generating rules and reasoning under inconsistencies. In: 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation, Japan, pp. 2536–2541 (2000)

    Google Scholar 

  244. Wang, G.Y., Liu, F.: The inconsistency in rough set based rule generation. In: Ziarko, W., Yao, Y. (eds.) RSCTC 2000. LNCS (LNAI), vol. 2005, pp. 370–377. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  245. Wang, G.Y., Liu, F., Wu, Y., Nie, N.: The inconsistency in rough set based rule generation. Journal of Chongqing University of Posts and Telecommunications 12, 16–21 (2000)

    MATH  Google Scholar 

  246. Wang, G.Y., Hu, F., Huang, H., Wu, Y.: A granular computing model based on tolerance relation. The Journal of China Universities of Posts and Telecommunications 12, 86–90 (2005)

    Google Scholar 

  247. Wang, G.Y., Chen, L., Wu, Y.: Rough set based solutions for network security. In: Dunin-Keplicz, B., Jankowski, A., Skowron, A., Szczuka, M. (eds.) Monitoring, Security, and Rescue Techniques in Multiagent Systems, pp. 455–465. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  248. Wang, G.Y., Chen, L., Wu, Y.: Rough set based solutions for network security (extended abstract). In: MSRAS 2004, 1st International Workshop on Monitoring, Security and Rescue Techniques in Multiagent Systems, Poland, pp. 114–118 (2004)

    Google Scholar 

  249. Wang, H., Zhang, W.X.: Relationships between concept lattice and rough set. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds.) ICAISC 2006. LNCS (LNAI), vol. 4029, pp. 538–547. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  250. Wang, J., Liu, S.Y., Zhang, J., Liu, Z.H.: Multivalued rough set based attribute reduction algorithm. Journal of Xi’an University 30, 277–280 (2003)

    Google Scholar 

  251. Wang, J., Miao, D.Q.: Rough set theory and its application: A Survey. Pattern Recognition and Artificial Intelligence 9, 337–344 (1996)

    Google Scholar 

  252. Wang, L., Wang, G.Y., Wu, Y.: An incremental rule acquisition algorithm based on variable precision rough set modes. Journal of Chongqing University of Posts and Telecommunications (Natural Sciences Edition) 17, 709–713 (2005)

    Google Scholar 

  253. Wang, Y., Wang, G.Y., Deng, W.B.: Concept lattice based data-driven uncertain knowledge acquisition. Pattern Recognition and Artificial Intelligence (to appear, 2007)

    Google Scholar 

  254. Wei, L., Li, H.R., Zhang, W.X.: Knowledge reduction based on the equivalence relations defined on attribute set and its power set. Information Sciences 177, 3178–3185 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  255. Wei, L., Miao, D.Q.: Application of granular computing in knowledge reduction. In: Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.) RSKT 2006. LNCS (LNAI), vol. 4062, pp. 357–362. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  256. Wu, W.Z., Zhang, W.X., Xu, Z.B.: On Characterization of rough fuzzy sets in constructive and axiomatic approaches. Chinese Journal of Computers 27, 197–203 (2004)

    MathSciNet  Google Scholar 

  257. Wu, W.Z., Zhang, W.X.: Neighborhood operator systems and approximations. Information Sciences 144, 201–217 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  258. Wu, W.Z., Zhang, M., Li, H.Z., Mi, J.S.: Knowledge reduction in random information systems via Dempster-Shafer theory of evidence. Information Sciences 174, 143–164 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  259. Wu, W.Z., Leung, Y., Zhang, W.X.: Connections between rough set theory and Dempster-Shafer theory of evidence. International Journal of General Systems 31, 405–430 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  260. Wu, W.Z., Zhang, W.X.: Neighborhood operator systems and approximations. Information Sciences 144, 201–217 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  261. Wu, W.Z., Mi, J.S., Zhang, W.X.: Generalized fuzzy rough sets. Information Sciences 151, 263–282 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  262. Wu, W.Z., Mi, J.S., Zhang, W.X.: Generalized fuzzy rough sets. Information Sciences 151, 263–282 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  263. Wu, Z.C.: RBFNN representation based on rough sets and its application to remote Sensing image classification. Acta Geodaetica et Cartographica Sinica 32, 53–57 (2003)

    Google Scholar 

  264. Xie, K.M., Chen, Z.H., Xie, G., Lin, T.Y.: BGrC for Superheated Steam Temperature System Modeling in Power Plant. In: Proc. of 2006 IEEE International Conference on Granular Computing, Atlanta, USA, pp. 708–711 (2006)

    Google Scholar 

  265. Xu, C., Min, F.: Weighted reduction for decision tables. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds.) FSKD 2006. LNCS (LNAI), vol. 4223, pp. 246–255. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  266. Xu, J.C., An, Q.S., Wang, G.Y.: Disposal of information with uncertain borderline-fuzzy sets and vague sets. Computer Engineering and Applications 38, 24–26 (2002)

    Google Scholar 

  267. Xu, J.C., Shen, J.Y., Wang, G.Y.: Measure of similarity between rough sets. Computer Science 30, 55–57, 60 (2003)

    Google Scholar 

  268. Xu, W., Xu, P., Zhang, W.X.: Information concept lattice and its reduction. In: Yao, J., Lingras, P., Wu, W.-Z., Szczuka, M., Cercone, N.J., Ślȩzak, D. (eds.) RSKT 2007. LNCS (LNAI), vol. 4481, pp. 60–67. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  269. Xu, Z.B., Liang, J.Y., Dang, C.Y., Chin, K.S.: Inclusion degree: a perspective on measures for rough set data analysis. Information Sciences 141, 229–238 (2002)

    MathSciNet  Google Scholar 

  270. Yan, G.W., Xie, G., Qiu, Y.X., Chen, Z.H.: MEA based nonlinearity correction algorithm for the VCO of LFMCW radar level gauge. In: Ślęzak, D., Wang, G., Szczuka, M., Düntsch, I., Yao, Y. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3641, pp. 461–470. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  271. Yang, Y., Wang, G.Y., Chen, P.J., Zhou, J., He, K.: Feature selection in audiovisual emotion recognition based on rough set theory. In: Peters, J.F., Skowron, A., Marek, V.W., Orłowska, E., Słowiński, R., Ziarko, W. (eds.) Transactions on Rough Sets VII. LNCS, vol. 4400, pp. 283–294. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  272. Yang, Y., Wang, G.Y., He, K.: An approach for selective ensemble feature selection based on rough set theory. In: Yao, J., Lingras, P., Wu, W.-Z., Szczuka, M., Cercone, N.J., Ślȩzak, D. (eds.) RSKT 2007. LNCS (LNAI), vol. 4481, pp. 518–525. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  273. Yao, Y.Y.: Constructive and Algebraic Methods of Theory of Rough Sets. Information Sciences 109, 21–47 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  274. Yao, Y.Y.: A Comparative Study of Fuzzy Sets and Rough Sets. Information Sciences 109, 227–242 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  275. Yao, Y.Y.: Relational Interpretations of Neighborhood Operators and Rough Set Approximation Operators. Information Sciences 101, 239–259 (1998)

    Article  Google Scholar 

  276. Yao, Y.Y.: Neighborhood Systems and Approximate Retrieval. Information Sciences 176, 3431–3452 (2007)

    Article  Google Scholar 

  277. Yao, Y.Y., Sai, Y.: On mining ordering rules. In: Terano, T., Nishida, T., Namatame, A., Tsumoto, S., Ohsawa, Y., Washio, T. (eds.) JSAI-WS 2001. LNCS (LNAI), vol. 2253, pp. 316–321. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  278. Ye, D.Y., Chen, Z.J.: A new discernibility matrix and the computation of a core. Acta Eletronica Sinica 30, 1086–1088 (2002)

    Google Scholar 

  279. Ye, D.Y., Chen, Z.J.: Inconsistency classification and Discernibility-Matrix-Based approaches for computing an attribute core. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds.) RSFDGrC 2003. LNCS (LNAI), vol. 2639, pp. 269–273. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  280. Ye, D.Y., Chen, Z.J.: An improved discernibility matrix for computing all attribute reducts. In: Proceedings of the 5th IEEE International Conference on Cognitive Informatics, pp. 305–308. IEEE Computer Society Press, Los Alamitos (2006)

    Chapter  Google Scholar 

  281. Ye, D.Y.: Recursive computation of positive regions and approximation quality in rough sets and its application. Pattern Recognition and Artificial Intelligence 15, 474–477 (2002)

    Google Scholar 

  282. Ye, D.Y., Chen, Z.J., Liao, J.K.: A new algorithm for minimum attribute reduction based on binary particle swarm optimization with vaccination. In: Zhou, Z.-H., Li, H., Yang, Q. (eds.) PAKDD 2007. LNCS (LNAI), vol. 4426, pp. 1029–1036. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  283. Yin, D.S., Wang, G.Y., Wu, Y.: Initiative learning algorithm for decision tree pre-pruning. Journal of Tongji University 32, 194–196 (2004)

    Google Scholar 

  284. Yin, D.S., Wang, G.Y., Wu, Y.: Data-driven decision tree learning algorithm based on rough set theory. In: Tarumi, H., Li, Y., Yoshida, T. (eds.) Proc. of the 2005 International Conference on Active Media Technology (AMT), Takamatsu, Kagawa, Japan, pp. 579–584 (2005)

    Google Scholar 

  285. Yin, D.S., Wang, G.Y., Wu, Y.: A self-learning algorithm for decision tree pre-pruning. In: Proceedings of the Third International Conference on Machine Learning and Cybernetics, Shanghai, pp. 2140–2145 (2004)

    Google Scholar 

  286. Yu, H., Yang, D.C., Wang, G.Y., Wu, Z.F.: Rough set based knowledge reduction algorithms. Computer Science 28, 31–34 (2001)

    Google Scholar 

  287. Yu, H., Wang, G.Y., Yang, D.C., Wu, Z.F.: Knowledge reduction algorithms based on rough set and conditional information entropy, in Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV. In: Dasarathy, B.V. (ed.) Proceedings of SPIE, vol. 4730, pp. 422–431 (2002)

    Google Scholar 

  288. Yu, Y.Z., Wang, G.Y., Wu, Y.: A rough set based analysis approach for incomplete information systems. Computer Science 28, 35–38 (2001)

    Google Scholar 

  289. Yuan, Z., Wu, Y., Wang, G.Y., Li, J.B.: Motion-information-based video retrieval system using rough pre-classification. In: Peters, J.F., Skowron, A. (eds.) Transactions on Rough Sets V. LNCS, vol. 4100, pp. 306–333. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  290. Yuan, Z., Wu, Y., Wang, G.Y., Li, J.B.: Video retrieval via rough-set-based video pre-classification. Computer Science 32, 20–23 (2005)

    Article  Google Scholar 

  291. Zeng, H.L.: Theoretical Aspects and Applications of Rough Sets. Chongqing University Press, Chongqing (1996)

    Google Scholar 

  292. Zeng, H.L.: Intelligent Computation. Chongqing University Press, Chongqing (2003)

    Google Scholar 

  293. Zeng, H.L.: A New Method of Selection and Reduction of System Feature in Pattern Recognition based on Rough Sets (in English). J. of Advance in Modeling & Analysis (French) 29 (2002)

    Google Scholar 

  294. Zeng, H.L.: A fast learning algorithm for solving systems of linear equations and related problems. Journal of Advance in Modelling & Analysis (French) 29 (1995)

    Google Scholar 

  295. Zeng, H.L.: On dynamics of a learning associative neural network. In: Proc of ICCAS/IEEE, USA (1995)

    Google Scholar 

  296. Zeng, H.L., Yuan, Z.R., Zeng, X.H.: A new method of selection and reduction of system feature in pattern recognition based on rough sets. Journal of Communication and Computer 3, 25–28 (2006)

    Google Scholar 

  297. Zeng, H.L.: Image recognition using adaptive fuzzy neural network and wavelet transform. In: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, pp. 635–639. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  298. Zhang, B., Zhang, L.: The Theory and Applications of Problem Solving-Quotient Space Based Granular Computing (The Second Version). Tsinghua University Press, Beijing (2007)

    Google Scholar 

  299. Zhang, B., Zhang, L.: Theory and Applications of Problem Solving. Tsinghua University Press, Beijing (1990)

    Google Scholar 

  300. Zhang, D.X., Miao, D.Q., Du, W.L., Li, D.G.: Contrast and analysis of attribute reduction algorithms. Computer Science 32, 89–92 (2005)

    Google Scholar 

  301. Zhang, D.X., Miao, D.Q., Li, D.G.: A variable precision rough set model based on database system. Computer Science 32, 179–184 (2005)

    Google Scholar 

  302. Zhang, H.Y., Miao, D.Q.: Automatic recognition system of bills based on principal curves. Journal of Information and Computational Science 1, 199–204 (2004)

    Google Scholar 

  303. Zhang, Q.H., Wang, G.Y., Hu, J., Liu, X.Q.: Incomplete information systems processing based on fuzzy- clustering. In: 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2006 Workshops) (WI-IATW 2006), pp. 486–489 (2006)

    Google Scholar 

  304. Zhang, W.X., Wu, W.Z., Liang, J.Y., Li, D.Y.: Theory and Methods of Rough Sets. Science Press, Beijing (2001)

    Google Scholar 

  305. Zhang, W.X., Leung, Y., Wu, W.Z.: Information Systems and Knowledge Discovery. Science Press, Beijing (2003)

    Google Scholar 

  306. Zhang, W.X., Qiu, G.F.: Uncertain Decision Making Based on Rough Sets. Tsinghua University Press, Beijing (2005)

    Google Scholar 

  307. Zhang, W.X., Leung, Y., Xu, P.: Uncertainty Reasoning Based on Inclusion Degree. Tsinghua University Press, Beijing (2007)

    Google Scholar 

  308. Zhang, W.X., Yao, Y.Y., Leung, Y.: Rough set and concept lattice. Xi’an Jiaotong University Press, Xi’an (2006)

    Google Scholar 

  309. Zhang, W.X., Wei, L., Qi, J.J.: Attribute reduction in concept lattice based on discernibility matrix. In: Ślęzak, D., Yao, J., Peters, J.F., Ziarko, W., Hu, X. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3642, pp. 157–165. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  310. Zhang, W.X., Wei, L., Xu, P.: Rough sets theory on generalized information systems. Fuzzy System and Mathematics 18, 29–33 (2004)

    Google Scholar 

  311. Zhang, X.P., Zhang, J.S., Wang, J., Li, J.: Study on diagnosis in sintering process based on rough set theory and neural network. Sintering and Pelletizing 30, 24–26 (2005)

    Google Scholar 

  312. Zhang, X.P.: Study on fault diagnosis of mining conveyance machine based on rough set. China Mining Magazine 14, 74–76 (2005)

    Google Scholar 

  313. Zhang, X.Y., Xu, W.H.: A novel approach to roughness measure in fuzzy rough sets. Advances in Soft Computing, 775–780 (2007)

    Google Scholar 

  314. Zhao, J., Wang, G.Y., Wu, Z.F., Tang, H., Li, H.: The study on technologies for feature selection. In: The First Int. Conference on Machine Learning and Cybernetics, pp. 689–693 (2002)

    Google Scholar 

  315. Zhao, J., Wang, G.Y., Wu, Z.F., Tang, H., Li, H., Liao, X.F.: Algorithms based on rough set theory for feature subset selection. Computer Science 29, 83–86 (2002)

    Google Scholar 

  316. Zhao, J., Wang, G.Y., Wu, Z.F., Tang, H., Li, H., Liao, X.F.: An efficient approach to compute the feature core. Mini-micro Systems 24, 1950–1963 (2003)

    Google Scholar 

  317. Zhao, J., Wang, G.Y., Wu, Z.F., Tang, H., Li, H.: Method of data discretization based on rough set theory. Mini-micro Systems 25, 60–64 (2004)

    Google Scholar 

  318. Zhao, J., Wang, G.Y., Wu, Z.F., Li, H.: New algorithms for data discretization based on rough set theory. Journal of Chongqing University 25, 18–21 (2002)

    Google Scholar 

  319. Zhao, J., Wang, G.Y.: A data-driven knowledge acquisition method based on system uncertainty. In: 4th IEEE International Conference on Cognitive Informatics, pp. 267–275 (2005)

    Google Scholar 

  320. Zhao, J., Wang, G.Y.: Research on system uncertainty measures based on rough set theory. In: Wang, G., et al. (eds.) RSKT 2006. LNCS (LNAI), vol. 4062, pp. 227–232. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  321. Zheng, Z., Wang, G.Y., Wu, Y.: Objects’ combination based simple computation of attribute core. In: The 17th IEEE International Symposium on Intelligent Control, ISIC 2002, Vancouver, Canada, pp. 514–519 (2002)

    Google Scholar 

  322. Zheng, Z., Wang, G.Y., Wu, Y.: Objects’ combination based computation of core attributes. Computer Science 29, 204–207 (2002)

    Google Scholar 

  323. Zheng, Z., Wang, G.Y.: RRIA.: A rough set and rule tree based incremental knowledge acquisition algorithm. Fundamenta Informaticae 59, 299–313 (2004)

    MATH  MathSciNet  Google Scholar 

  324. Zheng, Z., Wang, G.Y., Wu, Y.: A rough set and rule tree based incremental knowledge acquisition algorithm. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds.) RSFDGrC 2003. LNCS (LNAI), vol. 2639, pp. 122–129. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  325. Zheng, Z., Wang, G.Y., Wu, Y.: An incremental acquisition knowledge algorithm. Computer Science 30, 13–15 (2003)

    Google Scholar 

  326. Zheng, Z.: Tolerance granular space and its applications. PhD thesis, Institute of Computing Technology, Chinese Academy of Sciences (2006)

    Google Scholar 

  327. Zheng, Z., Hu, H., Shi, Z.Z.: Tolerance relation based information granular space. In: Ślęzak, D., Wang, G., Szczuka, M., Düntsch, I., Yao, Y. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3641, pp. 682–691. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  328. Zheng, Z., Hu, H., Shi, Z.Z.: Tolerance granular space and its applications. In: Proceedings of IEEE International Conference on Granular Computing, pp. 367–372 (2005)

    Google Scholar 

  329. Zheng, Z., Hu, H., Shi, Z.Z.: Granulation based image texture recognition. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds.) RSCTC 2004. LNCS (LNAI), vol. 3066, pp. 659–664. Springer, Heidelberg (2004)

    Google Scholar 

  330. Zheng, Z., Hu, H., Shi, Z.Z.: Rough set based image texture recognition algorithm. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004. LNCS (LNAI), vol. 3213, pp. 772–778. Springer, Heidelberg (2004)

    Google Scholar 

  331. Zhong, N., Skowron, A., Ohsuga, S. (eds.): RSFDGrC 1999. LNCS (LNAI), vol. 1711. Springer, Heidelberg (1999)

    MATH  Google Scholar 

  332. Zhong, N., Skowron, A., Ohsuga, S. (eds.): RSFDGrC 1999. LNCS (LNAI), vol. 1711. Springer, Heidelberg (1999)

    MATH  Google Scholar 

  333. Zhong, N., Yao, Y., Ohshima, M.: Peculiarity Oriented Multidatabase Mining. IEEE Trans. Knowledge and Data Engineer 15, 952–960 (2003)

    Article  Google Scholar 

  334. Zhu, F., Wang, F.Y.: Some Results on Covering Generalized Rough Sets. Pattern Recognition and Artificial Intelligence 15, 6–13 (2002)

    MathSciNet  Google Scholar 

  335. Zhu, W.: Topological Approaches to Covering Rough Sets. Information Sciences 177, 1499–1508 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  336. Ziarko, W.: The discovery, analysis and representation of data dependencies in databases. In: Piatesky-Shapiro, G., Frawley, W.J. (eds.) Knowledge discovery in databases, pp. 177–195. AAAI Press/MIT Press (1991)

    Google Scholar 

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Authors and Affiliations

  1. Institute of Computer Science & Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China

    Guoyin Wang & Qinghua Zhang

  2. School of Information Science & Technology, Southwest Jiaotong University, Chengdu, 610031, China

    Guoyin Wang & Qinghua Zhang

  3. School of Computer & Information Technology, Beijing Jiaotong University, Beijing, 100044, China

    Houkuan Huang

  4. College of Math. and Computer, Fuzhou University, Fuzhou, 350002, China

    Dongyi Ye

  5. Harbin Institute of Technology, PO Box 458, Harbin, 150006, China

    Qinghua Hu

  6. School of Computer & Information, Hefei University of Technology, Hefei, 230009, China

    Xuegang Hu

  7. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100080, China

    Zhongzhi Shi

  8. Lanzhou University, No.222, Tianshui South Rd., Lanzhou, 730000, China

    Yongli Li

  9. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210093, China

    Lin Shang

  10. Management Science & Engineering Department, Business School, Nankai University, Tianjin, 300071, China

    Liping An

  11. Shandong University of Finance, No.40 Shun-geng Road, Jinan, 250014, China

    Ying Sai

  12. Welding Engineering Institute, Shanghai Jiaotong University, Shanghai, 200030, China

    Shanben Chen

  13. School of Computer & Information Technology, Shanxi University, Taiyuan, 030006, China

    Jiye Liang

  14. Intelligent Control Development Center, Southwest Jiaotong University, Chengdu, 610031, China

    Keyun Qin

  15. Artificial Intelligence of Key Laboratory, Sichuan University of Science and Engineering, Zigong, 643000, China

    Huanglin Zeng

  16. Department of Automation, College of Information Engineering, Taiyuan University of Technology, Taiyuan, 030024, China

    Keming Xie

  17. Department of Computer Science and Technology, Tongji Universtiy (Jiading Campus), 4800 CaoAn Highway, Shanghai, 201804, China

    Duoqian Miao

  18. School of Computer Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China

    Fan Min

  19. School of Remote Sensing Information Engineering, Wuhan University, Wuhan, 430079, China

    Zhaocong Wu

  20. Institute for Information and System Sciences, Faculty of Science, Xi’an Jiaotong University, Xi’an, 710049, China

    Weizhi Wu

  21. Information College, Zhejiang Ocean University, Zhejiang, 316004, China

    Weizhi Wu

  22. Institute of Artificial Intelligence, Zhejiang University, Hangzhou, 310027, China

    Jianhua Dai

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  1. Guoyin Wang
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James F. Peters Andrzej Skowron

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Wang, G. et al. (2008). Research on Rough Set Theory and Applications in China . In: Peters, J.F., Skowron, A. (eds) Transactions on Rough Sets VIII. Lecture Notes in Computer Science, vol 5084. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85064-9_16

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