Fuzzy Cognitive Modeling: Theoretical and Practical Considerations

Gonzalo Nápoles*, Jose L. Salmeron, Wojciech Froelich, Rafael Falcon, Maikel Léon, Frank Vanhoenshoven, Rafael Bello, Koen Vanhoof

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Fuzzy cognitive maps (FCMs) areNápoles, Gonzalo knowledge-based neuralSalmeron, Jose L. systems comprised of causal relations and well-defined neural concepts. Since their inception three decades ago, FCMs have been used to model a myriad of problems. Despite the research progress achieved in this field, FCMs are still surrounded by important misconceptions that hamper their competitiveness in severalFroelich, Wojciech scenarios. In this paper, we discuss some theoretical and practical issues to be taken into account when modelingFalcon, Rafael FCM-based systems. Such issuesEspinosa, Maikel Leon range from the causality fallacy and the timing component to limited prediction horizon imposed by the network structure. The conclusion of this paper is thatVanhoenshoven, Frank the FCM’s theoretical underpinnings need to be revamped in order to overcome these limitations. Closing the gapBello, Rafael between FCMs and other neuralVanhoof, Koen network models seems to be the right path in that journey.
Original languageEnglish
Title of host publicationIntelligent Decision Technologies 2019
Number of pages11
Publication statusPublished - 2020
Externally publishedYes
Event11th KES International Conference on Intelligent Decision Technologies -
Duration: 17 Jun 2019 → …


Conference11th KES International Conference on Intelligent Decision Technologies
Period17/06/19 → …


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