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.
|Title of host publication||Intelligent Decision Technologies 2019|
|Number of pages||11|
|Publication status||Published - 2020|
|Event||11th KES International Conference on Intelligent Decision Technologies - |
Duration: 17 Jun 2019 → …
|Conference||11th KES International Conference on Intelligent Decision Technologies|
|Period||17/06/19 → …|