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From Fuzzy Cognitive Maps to Granular Cognitive Maps

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2012)

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

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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.

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Author information

Authors and Affiliations

  1. System Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Witold Pedrycz

  2. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada, T6G 2V4

    Witold Pedrycz

  3. Faculty of Mathematics and Information Science, Warsaw University of Technology, Plac Politechniki 1, 00-660, Warsaw, Poland

    Wladyslaw Homenda

Authors
  1. Witold Pedrycz
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  2. Wladyslaw Homenda
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Editor information

Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc-Thanh Nguyen

  2. University of Information Technology, National Vietnam University VNU-HCM, Ho Chi Minh city, Vietnam

    Kiem Hoang

  3. Gdynia Maritime University, Str. Morska 81-87, 81-225, Gdynia, Poland

    Piotr Jȩdrzejowicz

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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)

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