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Artificial Intelligence Review

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17.08.2017

A review on methods and software for fuzzy cognitive maps

Erschienen in: Artificial Intelligence Review | Ausgabe 3/2019

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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.

Vorheriger Artikel Ball tracking in sports: a survey

Nächster Artikel A survey of feature selection methods for Gaussian mixture models and hidden Markov models

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Titel: A review on methods and software for fuzzy cognitive maps
Publikationsdatum: 17.08.2017
Erschienen in: Artificial Intelligence Review / Ausgabe 3/2019
Print ISSN: 0269-2821
Elektronische ISSN: 1573-7462
DOI: https://doi.org/10.1007/s10462-017-9575-1

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