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A review on methods and software for fuzzy cognitive maps

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Abstract

Fuzzy cognitive maps (FCMs) keep growing in popularity within the scientific community. However, despite substantial advances in the theory and applications of FCMs, there is a lack of an up-to-date, comprehensive presentation of the state-of-the-art in this domain. In this review study we are filling that gap. First, we present basic FCM concepts and analyze their static and dynamic properties, and next we elaborate on existing algorithms used for learning the FCM structure. Second, we provide a goal-driven overview of numerous theoretical developments recently reported in this area. Moreover, we consider the application of FCMs to time series forecasting and classification. Finally, in order to support the readers in their own research, we provide an overview of the existing software tools enabling the implementation of both existing FCM schemes as well as prospective theoretical and/or practical contributions.

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Acknowledgements

The authors would like to thank Isel Grau (Vrije Universiteit Brussel, Belgium) and the anonymous reviewers for their valuable suggestions.

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Authors and Affiliations

  1. Central University of Las Villas, Santa Clara, Cuba

    Gerardo Felix & Rafael Bello

  2. Hasselt University, Hasselt, Belgium

    Gonzalo Nápoles & Koen Vanhoof

  3. University of Ottawa, Ottawa, Canada

    Rafael Falcon

  4. University of Silesia, Katowice, Poland

    Wojciech Froelich

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  1. Gerardo Felix
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  2. Gonzalo Nápoles
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  4. Wojciech Froelich
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  6. Rafael Bello
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Correspondence to Gerardo Felix.

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Felix, G., Nápoles, G., Falcon, R. et al. A review on methods and software for fuzzy cognitive maps. Artif Intell Rev 52, 1707–1737 (2019). https://doi.org/10.1007/s10462-017-9575-1

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  • DOI: https://doi.org/10.1007/s10462-017-9575-1

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