Extracting trapezoidal membership functions of a fuzzy rule system by bacterial algorithm

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2206 LNCS, Issue , 2001, Pages 218-227

  Botzheim, J ^a   Hamori B ^a   Koczy L T ^a  

^a BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATION THEORY; FUZZY INFERENCE; ALGORITHMS;

FINE TUNING; FUZZY RULE SYSTEMS; ONE-TIME; TRAPEZOIDAL MEMBERSHIP FUNCTIONS;

MEMBERSHIP FUNCTIONS;

EID: 37749039137     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45493-4_25     Document Type: Conference Paper

References (5)

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3. L.J. Fogel, A.J.Owens, and M.J.Walsh: Artificial Intelligence through Simulated Evolution, Wiley, New York, 1966.
4. M.Salmeri, M.Re, E. Petrongari, and G.C.Cardarilli: A Novel Bacterial Algorithm to Extract the Rule Base from a Training Set, Dept. of Electronic Engineering, University of Rome, 1999.
5. N.E.Nawa, and T.Furuhashi: Fuzzy System Parameters Discovery by Bacterial Evolutionary Algorithm, IEEE Tr. Fuzzy Systems 7 (1999), pp. 608-616.