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Fuzzy Cognitive Maps: Basic Theories and Their Application to Complex Systems

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Fuzzy Cognitive Maps

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 247))

Abstract

The challenging problem of modeling and controlling complex systems is investigated using Fuzzy Cognitive Maps (FCMs). A mathematical description of FCM models is presented, new construction methods and an algorithm are developed and extensively examined. The issue of modeling the supervisor of large complex systems is addressed and is modeled using a FCM. A manufacturing example is used to prove the usefulness of the proposed method. The problem of Decision Making process in Decision Analysis is considered and analyzed using FCM models. A successful application of FCM theory in a health problem is provided.

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Author information

Authors and Affiliations

  1. Laboratory for Automation and Robotics, Department of Electrical and Computer Engineering, University of Patras, 26500, Rion, Patras, Greece

    Peter P. Groumpos

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  1. Peter P. Groumpos
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Editors and Affiliations

  1. University of Aegean, Chios, Greece

    Michael Glykas

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Groumpos, P.P. (2010). Fuzzy Cognitive Maps: Basic Theories and Their Application to Complex Systems. In: Glykas, M. (eds) Fuzzy Cognitive Maps. Studies in Fuzziness and Soft Computing, vol 247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03220-2_1

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  • DOI: https://doi.org/10.1007/978-3-642-03220-2_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03219-6

  • Online ISBN: 978-3-642-03220-2

  • eBook Packages: EngineeringEngineering (R0)

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