한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)
- 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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- Pages.1262-1265
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- 1993
APPROXIMATIVE INFERENCE IN HIERARCHICAL STRUCTURED RULE BASES
- Koczy, Laszlo T. (Dept. of Telecommunication and Telematics Technical University of Budapest) ;
- Hirota, Kaoru (Dept. of Instrumentation and Control Engineering Hosei University College of Engineering)
- 발행 : 1993.06.01
초록
The paper discusses the problem of controlling systems with a very high number of input variables effectively by fuzzy If . . . then rules. The basic idea is the partition of the state space into domains, which step can be done even iteratively several times, and every domain has its own sub rule base referring to a considerably lower number of variables than the original space. In this manner the number of necessary rules is drastically reduced and time complexity of the control algorithm remains acceptable.
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