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A review of the construction of hierarchical fuzzy systems
Author(s) -
Torra Vicenç
Publication year - 2002
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.10036
Subject(s) - fuzzy set operations , fuzzy logic , fuzzy number , defuzzification , fuzzy classification , computer science , type 2 fuzzy sets and systems , fuzzy set , neuro fuzzy , set (abstract data type) , fuzzy associative matrix , fuzzy control system , data mining , artificial intelligence , mathematics , programming language
Fuzzy rule‐based systems are nowadays one of the most successful applications of fuzzy sets and fuzzylogic. Most applications use a flat set of fuzzy rules. However, in complex applications with a large set ofvariables, it is not appropriate to define the system with a flat set of rules because, among other problems, thenumber of rules increases exponentially with the number of variables. Hierarchical fuzzy systems are one of thealternatives presented in the literature to overcome this problem. In this article we review the latest resultsrelated with this type of fuzzy system. © 2002 Wiley Periodicals, Inc.