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An Algorithm for Finding Equivalence Relations from Tables with Non-deterministic Information

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1711))

Abstract

Rough sets theory depending upon DIS(Deterministic Information System) is now becoming a mathematical foundation of soft computing. Here, we pick up NIS(Non-deterministic Information System) which is more general system than DIS and we try to develop the rough sets theory depending upon NIS. We first give a definition of definability for every object set X, then we propose an algorithm for checking it. To find an adequate equivalence relation from NIS for X is the most important part in this algorithm, which is like a resolution. According to this algorithm, we implemented some programs by prolog language on the workstation.

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References

  1. Pawlak, Z.: Rough Sets. Kluwer Academic Publisher, Dordrecht (1991)

    MATH  Google Scholar 

  2. Pawlak, Z.: Data versus Logic A Rough Set View. In: Proc. 4th Int’l. Workshop on Rough Set, Fuzzy Sets and Machine Discovery, pp. 1–8 (1996)

    Google Scholar 

  3. Orlowska, E., Pawlak, Z.: Logical Foundations of Knowledge Representation. Pas Reports, vol. 537 (1984)

    Google Scholar 

  4. Nakamura, A., Tsumoto, S., Tanaka, H., Kobayashi, S.: Rough Set Theory and Its Applications. Journal of Japanese Society for AI 11(2), 209–215 (1996)

    Google Scholar 

  5. Grzymala-Busse, J.: A New Version of the Rule Induction System LERS. Fundamenta Informaticae 31, 27–39 (1997)

    MATH  Google Scholar 

  6. Komorowski, J., Zytkow, J. (eds.): PKDD 1997. LNCS(LNAI), vol. 1263. Springer, Heidelberg (1997)

    Google Scholar 

  7. Ras, Z., Joshi, S.: Query Approximate Answering System for an Incomplete DKBS. Fundamenta Informaticae 30, 313–324 (1997)

    Google Scholar 

  8. Tsumoto, S.: PRIMEROSE, Bulletin of Int’l. Rough Set Society 2(l), 42–43 (1998)

    Google Scholar 

  9. Zhong, N., Dong, J., Fujitsu, S., Ohsuga, S.: Soft Techniques to Rule Discovery in Data. Transactions of Information Processing Society of Japan 39(9), 2581–2592 (1998)

    Google Scholar 

  10. Sakai, H.: Some Issues on Nondeterministic Knowledge Bases with Incomplete and Selective Information. In: Polkowski, L., Skowron, A. (eds.) RSCTC 1998. LNCS (LNAI), vol. 1424, pp. 424–431. Springer, Heidelberg (1998)

    Google Scholar 

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© 1999 Springer-Verlag Berlin Heidelberg

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Sakai, H., Okuma, A. (1999). An Algorithm for Finding Equivalence Relations from Tables with Non-deterministic Information. In: Zhong, N., Skowron, A., Ohsuga, S. (eds) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing. RSFDGrC 1999. Lecture Notes in Computer Science(), vol 1711. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48061-7_10

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  • DOI: https://doi.org/10.1007/978-3-540-48061-7_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66645-5

  • Online ISBN: 978-3-540-48061-7

  • eBook Packages: Springer Book Archive

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