bookFeb 15, 2002Closed access

Genetic Fuzzy Systems: Evolutionary Tuning And Learning Of Fuzzy Knowledge Bases

Abstract

In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this symbiosis of evolutionary computation and fuzzy logic. The book summarizes and analyzes the novel field of genetic fuzzy systems, paying special attention to genetic algorithms that adapt and learn the knowledge base of a fuzzy-rule-based system. It introduces the general concepts, foundations and design principles of genetic fuzzy systems and covers the topic of genetic tuning of fuzzy systems. It also introduces the three fundamental approaches to genetic learning processes in fuzzy systems: the Michigan, Pittsburgh and…

Citation impact

755
total citations
FWCI
10.62
Percentile
100%
References
0
Citations per year

Authors

4

Topics & keywords

Keywords
  • Fuzzy rule
  • Neuro-fuzzy
  • Artificial intelligence
  • Fuzzy logic
  • Fuzzy control system
  • Computer science
  • Fuzzy set operations
  • Fuzzy classification
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