Coevolutionary Fuzzy Modeling [electronic resource] / by Carlos Andrés Peña Reyes.

By: Peña Reyes, Carlos Andrés [author.]Contributor(s): SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Computer Science ; 3204Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2004Description: XIV, 134 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540301189Subject(s): Computer science | Artificial intelligence | Computer Science | Computation by Abstract Devices | Mathematical Logic and Formal Languages | Artificial Intelligence (incl. Robotics)Additional physical formats: Printed edition:: No titleDDC classification: 004.0151 LOC classification: QA75.5-76.95Online resources: Click here to access online
Contents:
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 eBooksSummary: 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.
Item type: E-BOOKS
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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.

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.

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The Institute of Mathematical Sciences, Chennai, India

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