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Recent Developments in Fuzzy Logic and Fuzzy Sets pp 33–59Cite as

Statistical Approach to Fuzzy Cognitive Maps

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 391))

Abstract

Fuzzy cognitive maps are studied from statistical standpoint. An analogy between these maps and linear regression and logistic regression models is drawn. Practical examples are also provided.

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Acknowledgements

I express my thanks to the distinguished Editors for having this opportunity to be one of the contributors of this book. This article is dedicated to the memory of my mentor and friend, the great Professor Lotfi Zadeh.

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Authors and Affiliations

  1. Department of Economics and Management, University of Helsinki, Helsinki, Finland

    Vesa A. Niskanen

Authors
  1. Vesa A. Niskanen
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Correspondence to Vesa A. Niskanen .

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Editors and Affiliations

  1. Department of Information Technology and Programming, Azerbaijan Technical University, Baku, Azerbaijan

    Shahnaz N. Shahbazova

  2. Tokyo Institute of Technology, Kamakura, Japan

    Michio Sugeno

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Niskanen, V.A. (2020). Statistical Approach to Fuzzy Cognitive Maps. In: Shahbazova, S., Sugeno, M., Kacprzyk, J. (eds) Recent Developments in Fuzzy Logic and Fuzzy Sets. Studies in Fuzziness and Soft Computing, vol 391. Springer, Cham. https://doi.org/10.1007/978-3-030-38893-5_3

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