Coevolutionary Fuzzy Modeling

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Building on fuzzy logic and evolutionary computing, this book introduces fuzzy cooperative coevolution as a novel approach to systems design, conductive to explaining human decision process. Fuzzy cooperative coevolution is a methodology for constructing systems able to accurately predict the outcome of a decision-making process, while providing an understandable explanation of the underlying reasoning.

The central contribution of this work is the use of an advanced evolutionary technique, cooperative coevolution, for dealing with the simultaneous design of connective and operational parameters. Cooperative coevolution overcomes several limitations exhibited by other standard evolutionary approaches.

The applicability of fuzzy cooperative coevolution is validated by modeling the decision processes of three real-world problems, an iris data benchmark problem and two problems from breast cancer diagnosis.

Author(s): Carlos Andrés Peña Reyes (auth.)
Series: Lecture Notes in Computer Science 3204
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2004

Language: English
Pages: 134
Tags: Computation by Abstract Devices; Mathematical Logic and Formal Languages; Artificial Intelligence (incl. Robotics)

Front Matter....Pages -
1 Introduction....Pages 1-26
2 Evolutionary Fuzzy Modeling....Pages 27-50
3 Coevolutionary Fuzzy Modeling....Pages 51-69
4 Breast Cancer Diagnosis by Fuzzy CoCo....Pages 71-87
5 Analyzing Fuzzy CoCo....Pages 89-102
6 Extensions of the Methodology....Pages 103-115
7 Conclusions and Future Work....Pages 117-121
Back Matter....Pages -