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Intelligent Systems Reference Library

Fuzzy Cognitive Maps for Applied Sciences and Engineering

From Fundamentals to Extensions and Learning Algorithms

Editors: Papageorgiou, Elpiniki I. (Ed.)

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  • Sytematic and comprehensive insight to fundamentals, modeling methodologies, extensions and learning methodologies for Fuzzy Cognitive maps
  • Includes algorithms, codes, software tools and applications of fuzzy cognitive maps in applied sciences and engineering
  • Presents different case studies of learning algorithms successfully applied to real world problems
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  • Due: June 12, 2016
  • ISBN 978-3-662-52214-1
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About this book

Fuzzy Cognitive Maps (FCM) constitute cognitive models in the form of fuzzy directed graphs consisting of two basic elements: the nodes, which basically correspond to “concepts” bearing different states of activation depending on the knowledge they represent, and the “edges” denoting the causal effects that each source node exercises on the receiving concept expressed through weights. Weights take values in the interval [-1,1], which denotes the positive, negative or neutral causal relationship between two concepts. An FCM can be typically obtained through linguistic terms, inherent to fuzzy systems, but with a structure similar to the neural networks, which facilitates data processing, and has capabilities for training and adaptation.

During the last 10 years, an exponential growth of published papers in FCMs was followed showing great impact potential. Different FCM structures and learning schemes have been developed, while numerous studies report their use in many contexts with highly successful modeling results.

 

The aim of this book is to fill the existing gap in the literature concerning fundamentals, models, extensions and learning algorithms for FCMs in knowledge engineering. It comprehensively covers the state-of-the-art FCM modeling and learning methods, with algorithms, codes and software tools, and provides a set of applications that demonstrate their various usages in applied sciences and engineering.

Table of contents (20 chapters)

Table of contents (20 chapters)
  • Methods and Algorithms for Fuzzy Cognitive Map-based Modeling

    Pages 1-28

    Papageorgiou, Elpiniki I. (et al.)

  • Fuzzy Cognitive Maps as Representations of Mental Models and Group Beliefs

    Pages 29-48

    Gray, S. A. (et al.)

  • FCM Relationship Modeling for Engineering Systems

    Pages 49-64

    Motlagh, O. (et al.)

  • Using RuleML for Representing and Prolog for Simulating Fuzzy Cognitive Maps

    Pages 65-87

    Tsadiras, Athanasios (et al.)

  • Fuzzy Web Knowledge Aggregation, Representation, and Reasoning for Online Privacy and Reputation Management

    Pages 89-105

    Portmann, Edy (et al.)

Buy this book

eBook $139.00
price for USA in USD (gross)
  • ISBN 978-3-642-39739-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-3-642-39738-7
  • with online files
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: June 12, 2016
  • ISBN 978-3-662-52214-1
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Fuzzy Cognitive Maps for Applied Sciences and Engineering
Book Subtitle
From Fundamentals to Extensions and Learning Algorithms
Editors
  • Elpiniki I. Papageorgiou
Series Title
Intelligent Systems Reference Library
Series Volume
54
Copyright
2014
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-39739-4
DOI
10.1007/978-3-642-39739-4
Hardcover ISBN
978-3-642-39738-7
Softcover ISBN
978-3-662-52214-1
Series ISSN
1868-4394
Edition Number
1
Number of Pages
XXVII, 395
Number of Illustrations
145 b/w illustrations, 2 illustrations in colour
Topics

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