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 DOMINGUEZ, Mabel Filiberto, Yaima NAPOLES RUIZ, Gonzalo Bello, Rafael VANHOOF, Koen |
Issue Date: | 2017 | Publisher: | ISFUROS | Source: | 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. | Keywords: | Fuzzy Cognitive Maps; Complex Systems; Computing with Words; Reasoning; Simulation | Document URI: | http://hdl.handle.net/1942/25512 | ISBN: | 9789593122580 | Category: | C1 | Type: | Proceedings Paper | Validations: | vabb 2021 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
mabel.pdf Restricted Access | Peer-reviewed author version | 412.3 kB | Adobe PDF | View/Open Request a copy |
Page view(s)
48
checked on Sep 7, 2022
Download(s)
14
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.