A three-stage method for designing genetic fuzzy systems by learning from examples

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

Volumn 1141, Issue , 1996, Pages 720-729

  Cordón, Oscar ^a   Herrera, Francisco ^a   Lozano, Manuel ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; FUZZY LOGIC; FUZZY SYSTEMS; ITERATIVE METHODS;

DIMENSIONAL CONTROL; FUZZY LOGIC CONTROLLERS; FUZZY MODELING; GENETIC FUZZY SYSTEMS; ITERATIVE RULES; LEARNING FROM EXAMPLES; RULE DERIVATION; THREE-STAGE METHOD;

PROBLEM SOLVING;

EID: 84958954327     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-61723-X_1035     Document Type: Conference Paper

References (10)

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3. Cordón, O., Herrera, F., Lozano, M.: A Classified Review on the Combination Fuzzy Logic-Genetic Algorithms Bibliography. Technical Report DECSAI-95129, Dept. of Computer Science and A.I., University of Granada, Spain (November 1995) (last version May 1996). Available at http://decsai.ugr.es/~herrera/fl-ga.html
4. Driankov, D., Hellendoorn, H., Reinfrank, M.: An Introduction to Fuzzy Control. Springer-Verlag (1993).
5. Goldberg, D.E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, New York (1989).
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7. Herrera, F., Lozano, M., Verdegay, J.L.: Tuning Fuzzy Controllers by Genetic Algorithms. International Journal of Approximate Reasoning 12 (1995) 299-315.
8. Herrera, F., Lozano, M., Verdegay, J.L,: A Learning Process for Fuzzy Control Rules Using Genetic Algorithms. Technical Report DECSAI-95108, Dept. of Computer Science and A.I., University of Granada, Spain (February 1995).
9. Wang, L.X., Mendel, J.M.: Generating Fuzzy Rules by Learning from Examples. IEEE Transactions on Systems, Man, and Cybernetics 22 (1992) 1414-1427.
10. Zadeh, L.A.: Fuzzy Sets. Information and Control 8 (1965) 338-353.