Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3204)
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Table of contents (7 chapters)
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Coevolutionary Fuzzy Modeling
Authors: Carlos Andrés Peña Reyes
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/b99869
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2004
Softcover ISBN: 978-3-540-22994-0Published: 18 October 2004
eBook ISBN: 978-3-540-30118-9Published: 20 October 2004
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 134
Topics: Computation by Abstract Devices, Mathematical Logic and Formal Languages, Artificial Intelligence