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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/25513

Title: Fuzzy Cognitive Maps reasoning with words based on triangular fuzzy numbers
Authors: Frias, Mabel
Filiberto, Yaima
Nápoles, Gonzalo
García-Socarrás, Yadira
Vanhoof, Koen
Bello, Rafael
Issue Date: 2017
Citation: Proceedings of the 16th Mexican International Conference on Artificial Intelligence (MICAI 2017),
Status: In Press
Abstract: A pivotal difference between Artificial Neural Networks and Fuzzy Cognitive Maps (FCMs) is that the latter allow modeling a physical system in terms of concepts and causal relations, thus equipping the network with interpretability features. However, such components are normally described by quantitative terms, which may be difficult to handle by domain experts. In this paper, we explore a reasoning mechanism for FCMs based on the Computing with Words paradigm where numerical concepts and relations are replaced with linguistic terms. More explicitly, we include triangular fuzzy numbers into the qualitative reasoning process attached to our model, thus proving further interpretability and transparency. The simulations show the potential behind the symbolic reasoning mechanism proposed in this study.
URI: http://hdl.handle.net/1942/25513
Category: C2
Type: Proceedings Paper
Appears in Collections: Research publications

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