Heuristic Rule Weight Specification for Fuzzy Rule-Based Classification Systems
Author:
Affiliation:
1. Department of Industrial Engineering, Osaka Prefecture University
Publisher
Japan Society for Fuzzy Theory and Intelligent Informatics
Link
https://www.jstage.jst.go.jp/article/jsoft/16/5/16_KJ00003258342/_pdf
Reference17 articles.
1. 1) AGRAWAL R. Fast Discovery of Association Rules. Advances in Knowledge Discovery and Data Mining. AAAI Press/MIT Press. (1996)
2. 2) CASILLAS J. Accuracy Improvements in Linguistic Fuzzy Modeling. Springer. (2003)
3. 3) CHERKASSKY V. Learning From Data : Concept, Theory, and Methods. John Weley & Sons. (1998)
4. 4) ISHIBUCHI H. Distributed Representation of Fuzzy Rules and Its Application to Pattern Classification. Fuzzy Sets and Systems. (1992) vol.52, p.21-32.
5. 5) ISHIBUCHI H. Fuzzy Rule Selection by Data Mining Criteria and Genetic Algorithms. Proc. of Genetic and Evolutionary Computation Conference, 2002. (2002)
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