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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/25512

Title: Fuzzy Cognitive Maps reasoning with words: an ordinal approach
Authors: Frias, Mabel
Filiberto, Yaima
Nápoles, Gonzalo
Vanhoof, Koen
Bello, Rafael
Issue Date: 2017
Citation: Proceedings of the 2nd International Symposium on Fuzzy and Rough Sets (ISFUROS 2017),
Status: In Press
Abstract: Fuzzy Cognitive Maps (FCMs) can be defined as recurrent neural networks that allow modeling complex systems using concepts and causal relations. While this Soft Computing technique has proven to be a valuable knowledge-based tool for building Decision Support Systems, further improvements related to its transparency are still required. In this paper, we focus on designing an FCM-based model where both the causal weights and concepts’ activation values are described by words like low, medium or high. Hybridizing FCMs and the Computing with Words paradigm leads to cognitive models closer to human reasoning, making it more comprehensible for decision makers. The simulations using a wellknown case study related to simulation scenarios illustrate the soundness and potential application of the proposed model.
URI: http://hdl.handle.net/1942/25512
Category: C2
Type: Proceedings Paper
Appears in Collections: Research publications

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