UID:
almahu_9948621499102882
Format:
XIV, 134 p.
,
online resource.
Edition:
1st ed. 2004.
ISBN:
9783540301189
Series Statement:
Lecture Notes in Computer Science, 3204
Content:
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.
Note:
1 Introduction -- 2 Evolutionary Fuzzy Modeling -- 3 Coevolutionary Fuzzy Modeling -- 4 Breast Cancer Diagnosis by Fuzzy CoCo -- 5 Analyzing Fuzzy CoCo -- 6 Extensions of the Methodology -- 7 Conclusions and Future Work.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783662171622
Additional Edition:
Printed edition: ISBN 9783540229940
Language:
English
URL:
https://doi.org/10.1007/b99869
