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From Fuzzy Cognitive Maps to Granular Cognitive Maps

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 7653)

Abstract

In this study, we introduce a concept of a granular fuzzy cognitive map. The generic maps are regarded as graph-oriented models describing relationships among a collection of concepts (represented by nodes of the graph). The generalization of the map comes in the form of its granular connections whose design dwells upon a principle of Granular Computing such as an optimal allocation (distribution) of information granularity being viewed as an essential modeling asset. Some underlying ideas of Granular Computing are briefly revisited.

Keywords

  • fuzzy cognitive maps
  • granular computing
  • information granularity
  • fuzzy sets
  • interval analysis
  • rough sets
  • allocation of information granularity
  • system modeling

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© 2012 Springer-Verlag Berlin Heidelberg

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Pedrycz, W., Homenda, W. (2012). From Fuzzy Cognitive Maps to Granular Cognitive Maps. In: Nguyen, NT., Hoang, K., Jȩdrzejowicz, P. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2012. Lecture Notes in Computer Science(), vol 7653. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34630-9_19

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  • DOI: https://doi.org/10.1007/978-3-642-34630-9_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34629-3

  • Online ISBN: 978-3-642-34630-9

  • eBook Packages: Computer ScienceComputer Science (R0)