Abstract
This paper provides a brief overview of the Rough Set Data-base System (the RSDS for short) for creating bibliographies on rough sets and related fields, as well as sharing and analysis. The current version of the RSDS includes a number of modifications, extensions and functional improvements compared to the previous versions of this system. The system was made in the client-server technology. Currently, the RSDS contains over 38 540 entries from nearly 42 860 authors. This system works on any computer connected to the Internet and is available at http://rsds.ur.edu.pl.
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References
Chakraverty, S., Sahoo, D.M., Mahato, N.R.: Concepts of Soft Computing: Fuzzy and ANN with Programming. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-7430-2
Devlin, K.: Goodbye Descartes: The End of Logic and the Search for a New Cosmology of the Mind. Wiley, Hoboken (1997)
Pal, S.K., Polkowski, L., Skowron, A. (eds.): Rough-Neural Computing. Techniques for Computing with Words. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-642-18859-6
Pawlak, Z.: Information systems - theoretical foundations. Inf. Syst. 6, 205–218 (1981)
Pawlak, Z.: Rough sets. Int. J. Comput. Inf. Sci. 11(1982), 205–218 (1982)
Pawlak, Z.: Rough Sets - Theoretical Aspects of Reasoning About Data. Kluwer, Dordrecht (1991)
Pedrycz, W., Skowron, A., Kreinovich, V. (eds.): Handbook of Granular Computing. Wiley, Hoboken (2008)
Skowron, A., Suraj, Z. (eds.): Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam. Intelligent Systems Reference Library, vols. 42, 43, Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-30344-9
Suraj, Z., Grochowalski, P.: The rough sets database system: an overview. Bull. Int. Rough Set Soc. 7(1/2), 75–81 (2003). (Ed. by, Tsumoto, S., Miyamoto, S.) Shimane, Japan
Suraj, Z., Grochowalski, P.: The rough sets database system: an overview. In: Tsumoto, S., et al. (eds.) RSCTC 2004. LNAI, vol. 3066, pp. 841–849. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-25929-9_107
Suraj, Z., Grochowalski, P.: The rough set database system: an overview. In: Peters, J.F., Skowron, A. (eds.) Transactions on Rough Sets III. LNCS, vol. 3400, pp. 190–201. Springer, Heidelberg (2005). https://doi.org/10.1007/11427834_9
Suraj, Z., Grochowalski, P.: Functional extension of RSDS system. In: Greco, S., et al. (eds.) RSCTC 2006. LNCS, vol. 4259, pp. 786–795. Springer, Heidelberg (2006). https://doi.org/10.1007/11908029_81
Suraj, Z., Grochowalski, P.: On basic possibilities of RSDS system. In: Wakulicz-Deja, A. (ed.) Decision Support Systems, pp. 179–185. University of Silesia, Katowice (2007)
Suraj, Z., Grochowalski, P.: The rough sets database system. In: Peters, J.F., Skowron, A. (eds.) Transactions on Rough Sets VIII. LNCS, vol. 5084, pp. 307–331. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-85064-9_14
Suraj, Z., Grochowalski, P.: Patterns of collaborations in rough set research. In: Bello, R., Falcón, R., Pedrycz, W., Kacprzyk, J. (eds.) Granular Computing: At the Junction of Rough Sets and Fuzzy Sets. SFSC, vol. 224, pp. 79–92. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-76973-6_5
Suraj, Z., Grochowalski, P.: Toward intelligent searching the rough set database system (RSDS): an ontological approach. Fundam. Inform. 101, 115–123 (2010)
Suraj, Z., Grochowalski, P.: Some comparative analyses of data in the RSDS system. In: Yu, J., Greco, S., Lingras, P., Wang, G., Skowron, A. (eds.) RSKT 2010. LNCS, vol. 6401, pp. 8–15. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-16248-0_7
Suraj, Z., Grochowalski, P., Lew, Ł.: Discovering patterns of collaboration in rough set research: statistical and graph-theoretical approach. In: Yao, J., Ramanna, S., Wang, G., Suraj, Z. (eds.) RSKT 2011. LNCS, vol. 6954, pp. 238–247. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-24425-4_33
Suraj, Z., Grochowalski, P., Lew, Ł.: Pawlak collaboration graph and its properties. In: Kuznetsov, S.O., Ślȩzak, D., Hepting, D.H., Mirkin, B.G. (eds.) RSFDGrC 2011. LNCS, vol. 6743, pp. 365–368. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-21881-1_56
Suraj, Z., Grochowalski, P., Lew, Ł.: Pawlak collaboration graph of the second kind and its properties. In: Proceeding of the Workshop on CS&P 2011, Pułtusk, Poland, pp. 512–522, September 2011, Białystok University of Technology (2011)
Suraj, Z., Grochowalski, P., Pancerz, K.: On knowledge representation and automated methods of searching information in bibliographical data bases: a rough set approach. In: [8], vol. 43
Suraj, Z., Grochowalski, P.: About new version of the RSDS system. Fundam. Inform. 135, 503–519 (2014)
Wilson, R.J.: Introduction to Graph Theory. Longman (1985)
Yao, J.T., Onasanya, A.: Recent development of rough computing: a scientometrics view. Stud. Comput. Intell. 708, 21–45 (2017)
Yao, J.T.: The impact of rough set conferences. In: Mihálydeák, T. et al. (eds.) IJCRS 2019. LNCS, vol. 11499, pp. 383–394. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22815-6_30
Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)
Zadeh, L.A.: Fuzzy logic, neural networks and soft computing. Commun. ACM, 77–84 (1994)
BibTeX. http://www.bibtex.org/
International Rough Set Society. https://www.roughsets.org/
Rough Set Database System. http://rsds.ur.edu.pl/
Rough Set and Petri Net Research Group. http://rspn.univ.rzeszow.pl/
Acknowledgment
The authors are very grateful to Professor Andrzej Skowron for his constructive comments and encouragement to work on the development of the RSDS. In addition, the authors also appreciate anonymous reviewers for helpful comments.
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Suraj, Z., Grochowalski, P. (2021). The RSDS: A Current State and Future Plans. In: Ramanna, S., Cornelis, C., Ciucci, D. (eds) Rough Sets. IJCRS 2021. Lecture Notes in Computer Science(), vol 12872. Springer, Cham. https://doi.org/10.1007/978-3-030-87334-9_9
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