An evolutionary approach to fuzzy rule-based model synthesis using indices for rules

Author:

Angelov Plamen P.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference29 articles.

1. G.-S. Andreas, Fuzzy Rule-Based Expert Systems and Genetic Machine Learning, Studies in Fuzziness, vol. 3, Physica-Verlag, Wien, 1995.

2. Evolving fuzzy rule-based models;Angelov;J. CIIE (special issue on Soft Computing Applications to Industrial Engineering),2000

3. Evolving Rule-based Models: A Tool for Design of Flexible Adaptive Systems;Angelov,2002

4. P. Angelov, R. Buswell, Evolving rule-based models—a tool for intelligent adaptation, Proc. Joint 9th IFSA World Congress and 20th NAFIPS Annual Conference, Vancouver, BC, Canada, 25–28 July, 2001, pp. 1062–1067, invited paper.

5. A GA-based approach to optimization of bioprocesses described by fuzzy rules;Angelov;J. Bioprocess Eng.,1997

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