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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/29753

Title: Fuzzy Cognitive Modeling: Theoretical and Practical Considerations
Authors: Napoles Ruiz, Gonzalo
Salmeron, Jose L.
Froelich, Wojciech
Falcon, Rafael
Espinosa, Maikel Leon
Vanhoenshoven, Frank
Bello, Rafael
Vanhoof, Koen
Issue Date: 2020
Publisher: Springer, Singapore
Citation: Czarnowski, Ireneusz; Howlett, Robert J.; Jain, Lakhmi C. (Ed.). Intelligent Decision Technologies 2019, Springer, Singapore,p. 77-87
Series/Report: Smart Innovation, Systems and Technologies
Series/Report no.: 142
Abstract: Fuzzy cognitive maps (FCMs) are knowledge-based neural 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 several scenarios. In this paper, we discuss some theoretical and practical issues to be taken into account when modeling FCM-based systems. Such issues range from the causality fallacy and the timing component to limited prediction horizon imposed by the network structure. The conclusion of this paper is that the FCM’s theoretical underpinnings need to be revamped in order to overcome these limitations. Closing the gap between FCMs and other neural network models seems to be the right path in that journey
URI: http://hdl.handle.net/1942/29753
Link to publication: https://www.springer.com/gp/book/9789811383106
DOI: 10.1007/978-981-13-8311-3_7
ISBN: 9789811383106
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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