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Title: | A review on methods and software for fuzzy cognitive maps | Authors: | Felix, Gerardo NAPOLES RUIZ, Gonzalo Falcon, Rafael Froelich, Wojciech VANHOOF, Koen Bello, Rafael |
Issue Date: | 2017 | Source: | Artificial intelligence review, 52 (3), p. 1707-1737 | Abstract: | Fuzzy Cognitive Maps (FCMs) keep growing in popularity within the scientific community. However, despite substantial advances in the theory and applications of FCMs, there is a lack of an up-to-date, comprehensive presentation of the state-of-the-art in this domain. In this review study we are filling that gap. First, we present basic FCM concepts and analyze their static and dynamic properties, and next we elaborate on existing algorithms used for learning the FCM structure. Second, we provide a goal-driven overview of numerous theoretical developments recently reported in this area. Moreover, we consider the application of FCMs to time series forecasting and classification. Finally, in order to support the readers in their own research, we provide an overview of the existing software tools enabling the implementation of both existing FCM schemes as well as prospective theoretical and/or practical contributions. | Notes: | Felix, G (reprint author), Cent Univ Las Villas, Santa Clara, Cuba. gerardfelix87@gmail.com; gonzalo.napoles@uhasselt.be; rfalcon@uottawa.ca; wojciech.froelich@us.edu.pl; koen.vanhoof@uhasselt.be; rbellop@uclv.cu | Keywords: | Fuzzy Cognitive Maps; Machine Learning; Software Tools | Document URI: | http://hdl.handle.net/1942/25510 | ISSN: | 0269-2821 | e-ISSN: | 1573-7462 | DOI: | 10.1007/s10462-017-9575-1 | ISI #: | 000486256400006 | Rights: | © Springer Science+Business Media B.V. 2017 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2020 vabb 2019 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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review.pdf | Peer-reviewed author version | 606.34 kB | Adobe PDF | View/Open |
s10462-017-9575-1.pdf Restricted Access | Published version | 1.04 MB | Adobe PDF | View/Open Request a copy |
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