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The FCN Framework: Development and Applications

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Advances in Data Analysis

Part of the book series: Statistics for Industry and Technology ((SIT))

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Abstract

The Fuzzy Cognitive Network(FCN) framework is a proposition for the operational extension of fuzzy cognitive maps to support the close interaction with the system they describe and consequently become appropriate for adaptive decision making and control applications. They constitute a methodology for data, knowledge, and experience representation based on the exploitation of theories such as fuzzy logic and neurocomputing. This chapter presents the main theoretical results related to the FCN development based on theorems specifying the conditions for the uniqueness of solutions for the FCN concept values. Moreover, case application studies are given, each one demonstrating different aspects of the design and operation of the framework.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Democritus University of Thrace, 67100, Xanthi, Greece

    Yiannis S. Boutalis & Theodoros L. Kottas

  2. Department of Electrical and Computer Engineering, Technical University of Crete, 73100, Chania, Greece

    Manolis A. Christodoulou

Authors
  1. Yiannis S. Boutalis
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  2. Theodoros L. Kottas
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  3. Manolis A. Christodoulou
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Corresponding author

Correspondence to Yiannis S. Boutalis .

Editor information

Editors and Affiliations

  1. Data analysis & Forecasting Lab., Technical University of Crete, Chania, Crete, 731 00, Greece

    Christos H. Skiadas

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Boutalis, Y.S., Kottas, T.L., Christodoulou, M.A. (2010). The FCN Framework: Development and Applications. In: Skiadas, C. (eds) Advances in Data Analysis. Statistics for Industry and Technology. Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4799-5_21

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