Coevolution of a Fuzzy Rule Base for Classification Problems

Author:

Fusińska Barbara,Kisiel-Dorohinicki Marek,Nawarecki Edward

Publisher

Springer Berlin Heidelberg

Reference21 articles.

1. Bäck, T.: Evolutionary algorithms in theory and practice. Oxford University Press, New York (1988)

2. González, A., Herrera, F.: Multi-stage genetic fuzzy systems based on the iterative rule learning approach, Mathware & Soft Computing, vol. 4(3) (1997)

3. González, A., Pérez, R.: Completeness and consistency conditions for learning fuzzy rules. Fuzzy Sets and Systems 96, 37–51 (1998)

4. Gordon, O., del Jesus, M., Herrera, F.: Evolutionary approaches to the learning of fuzzy rule-based classifications systems. CRC Press, Boca Raton (1999)

5. Holand, J.H.: Escaping brittleness: The possibilities of general-pupose learning algorithms applied to parallel rule-base system. In: Michalski, R.S., Carbonell, J.G., Mitchell, T.M. (eds.) Machine Learning II, Morgan Kaufmann Publishers, San Francisco (1986)

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1. Evolutionary multi-agent systems;The Knowledge Engineering Review;2015-03

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