Fuzzy Cognitive Maps

Advances in Theory, Methodologies, Tools and Applications

  • Michael Glykas

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

Table of contents

  1. Front Matter
  2. Wojciech Stach, Lukasz Kurgan, Witold Pedrycz
    Pages 23-41
  3. Aguilar Jose, José Contreras
    Pages 71-87
  4. Thodoris L. Kottas, Yiannis S. Boutalis, Manoli A. Christodoulou
    Pages 89-134
  5. Santiago Medina Hurtado
    Pages 135-159
  6. George Xirogiannis, Michael Glykas, Christos Staikouras
    Pages 161-200
  7. Panagiotis Chytas, Michael Glykas, George Valiris
    Pages 217-230
  8. Thodoris L. Kottas, Athanasios D. Karlis, Yiannis S. Boutalis
    Pages 231-257
  9. Gonzalo Pajares, María Guijarro, P. Javier Herrera, José J. Ruz, Jesús M. de la Cruz
    Pages 259-289
  10. G. A. Papakostas, D. E. Koulouriotis
    Pages 291-306
  11. Back Matter

About this book

Introduction

The theory of cognitive maps was developed in 1976. Its main aim was the representation of (causal) relationships among “concepts” also known as “factors” or “nodes”. Concepts could be assigned values. Causal relationships between two concepts could be of three types: positive, negative or neutral. Increase in the value of a concept would yield a corresponding positive or negative increase at the concepts connected to it via relationships. In 1986 Bart Kosko introduced the notion of fuzziness to cognitive maps and created the theory of Fuzzy Cognitive Maps (FCMs). The relationship between two concepts in (FCMs) can take a value in the interval [-1,1]. This relationship value is called “weight”. For the last twenty years extensive research in the theory of FCMs has been performed that provided major improvements and enhancements in its theoretical underpinning. New methodologies and approaches have been developed. FCMs have also been applied to many different sectors. New software tools have been developed that automate FCM creation and management. The aim of this book is to present recent advances and state of the art in FCM theory, methodologies, applications and tools that exist to date scattered in journal papers, in a concrete and integrated manner.

Keywords

Fuzzy Cognitive Maps Performance Measurement artificial intelligence calculus complex systems computer vision control decision tree expert system fuzziness fuzzy knowledge knowledge management modeling simulation

Editors and affiliations

  • Michael Glykas
    • 1
  1. 1.University of AegeanChiosGreece

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-03220-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-03219-6
  • Online ISBN 978-3-642-03220-2
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • About this book