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Volumn 65, Issue 2-3, 1994, Pages 237-253

Construction of fuzzy classification systems with rectangular fuzzy rules using genetic algorithms

Author keywords

Data analysis methods; Fuzzy classification; Genetic algorithms; Pattern recognition; Rule selection

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); COMBINATORIAL MATHEMATICS; COMPUTER SIMULATION; DATA REDUCTION; EXPERT SYSTEMS; FUZZY SETS; OPTIMIZATION; PATTERN RECOGNITION;

EID: 0028482107     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/0165-0114(94)90022-1     Document Type: Article
Times cited : (140)

References (24)
  • 16
    • 84911332731 scopus 로고    scopus 로고
    • H. Nomura, I. Hayashi and N. Wakami, A learning method of fuzzy inference rules by descent method, Proc. of the IEEE Internat. Conf. on Fuzzy Systems (San Diego, CA, March 8–12) 203–210.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.