In this paper, we present a multistage genetic learning process for obtaining linguistic fuzzy rule-based classification systems that integrates fuzzy reasoning methods cooperating with the fuzzy rule base and learns the best set of linguistic hedges for the linguistic variable terms. We show the ap
Construction of fuzzy classification systems with rectangular fuzzy rules using genetic algorithms
β Scribed by Hisao Ishibuchi; Ken Nozaki; Naohisa Yamamoto; Hideo Tanaka
- Book ID
- 107902805
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 1004 KB
- Volume
- 65
- Category
- Article
- ISSN
- 0165-0114
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