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Belief Rules vs. Decision Rules: A Preliminary Appraisal of the Problem

  • Jerzy W. Grzymała-Busse
  • Zdzisław S. Hippe
  • Teresa Mroczek
Part of the Advances in Soft Computing book series (AINSC, volume 31)

Abstract

An in-house developed computer program system Belief SEEKER, capable to generate belief networks and to convert them into respective sets of belief rules, was applied in mining the melanoma database. The obtained belief rules were compared with production rules generated by LERS system. It was found, that belief rules can be presumably treated as a generalization of standard IF...THEN rules.

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References

  1. 1.
    P. Błajdo, J.W. Grzymała-Busse, Z.S. Hippe, M. Knap, T. Marek, T. Mroczek, M. Wrzesień: A suite of machine learning tools for knowledge extraction from data, In: R. Tadeusiewicz, A. Ligęza, M. Szymkat (Eds.), Computer Methods and Systems in Scientific Research, Edition of “Oprogr. Naukowe”, Cracow 2003, pp. 479–484 (in Polish).Google Scholar
  2. 2.
    M.R. Chmielewski, J.W. Grzymała-Busse, Neil W. Peterson, S. Than: The Rule Induction System LERS — A Version for Personal Computers, Foundations of Computing and Dec. Sciences 1993 (18, No 3–4) pp. 181–211.Google Scholar
  3. 3.
    Z. Pawlak: Knowledge and rough set, In: W. Traczyk (Eds.), Problem of artificial intelligence, Wiedza i życie — Warsaw 1995, pp. 9–21 (in Polish).Google Scholar
  4. 4.
    T. Mroczek, J.W. Grzymała-Busse, Z.S. Hippe: Rules from belief networks: A Rough Set Approach, In: S. Tsumoto, R. Słowiński, J. Komorowski, J.W. Grzymała-Busse (Eds.), Rough Sets and Current Trends in Computing, Springer-Verlag, Uppsala, Sweden 2004, pp.483–487Google Scholar
  5. 5.
    D. Heckerman: A Tutorial on Learning Bayesian Networks, Technical report MSR-TR-95-06. heckerman@microsoft.com.Google Scholar
  6. 6.
    Z.S. Hippe: Design and Application of New Knowledge Engineering Tool for Solving Real World Problems, Knowledge-Based Systems 9(1996)509–515.CrossRefGoogle Scholar
  7. 7.
    J.W. Grzymała-Busse: A New Version of the Rule Induction System LERS, Fundamenta Informaticae 31(1997)27–39.Google Scholar
  8. 8.
    J.W. Grzymała-Busse, W. Ziarko: Data Using Based on Rough Sets, In: J. Wang (Eds.), Data Mining: Opportunities and Challenges, Idea Group Publishing, Hershey 2003, pp. 142–173.Google Scholar
  9. 9.
    A. Alvarez, S. Bajcar, F.M. Brown, J.W. Grzymała-Busse, Z.S. Hippe: Optimization of the ABCD Formula Used for Melanoma Diagnosis, In: M.A. Kłopotek, S.T. Wierzchoń, K. Trojanowski (Eds.), Advances in Soft Computing, Springer-Verlag, Heidelberg 2003, pp.233–240.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jerzy W. Grzymała-Busse
    • 1
    • 2
  • Zdzisław S. Hippe
    • 1
  • Teresa Mroczek
    • 1
  1. 1.Department of Expert Systems and Artificial IntelligenceUniversity of Information Technology and ManagementRzeszówPoland
  2. 2.Department of Electrical Engineering and Computer ScienceUniversity of KansasLawrenceUSA

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