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Fuzzy cognitive modeling: Theoretical and practical considerations

dc.contributor.authorNápoles G.
dc.contributor.authorSalmeron J.L.
dc.contributor.authorFroelich W.
dc.contributor.authorFalcon R.
dc.contributor.authorEspinosa M.L.
dc.contributor.authorVanhoenshoven F.
dc.contributor.authorBello R.
dc.contributor.authorVanhoof K.
dc.date.accessioned2020-09-02T22:24:38Z
dc.date.available2020-09-02T22:24:38Z
dc.date.issued2019
dc.identifier10.1007/978-981-13-8311-3_7
dc.identifier.citation142, , 77-87
dc.identifier.issn21903018
dc.identifier.urihttps://hdl.handle.net/20.500.12728/5584
dc.descriptionFuzzy cognitive maps (FCMs) are knowledge-based neural systems comprised of causal relations and well-defined neural concepts Since their inception three decades ago, FCMs have been used to model a myriad of problems Despite the research progress achieved in this field, FCMs are still surrounded by important misconceptions that hamper their competitiveness in several scenarios In this paper, we discuss some theoretical and practical issues to be taken into account when modeling FCM-based systems Such issues range from the causality fallacy and the timing component to limited prediction horizon imposed by the network structure The conclusion of this paper is that the FCM’s theoretical underpinnings need to be revamped in order to overcome these limitations Closing the gap between FCMs and other neural network models seems to be the right path in that journey. © Springer Nature Singapore Pte Ltd 2020.
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.subjectComplex systems
dc.subjectFuzzy cognitive maps
dc.subjectInterpretability
dc.subjectNeural cognitive modeling
dc.subjectSimulation
dc.subjectFuzzy inference
dc.subjectFuzzy neural networks
dc.subjectFuzzy rules
dc.subjectKnowledge based systems
dc.subjectLarge scale systems
dc.subjectCognitive model
dc.subjectFuzzy cognitive map
dc.subjectFuzzy cognitive maps (FCMs)
dc.subjectInterpretability
dc.subjectNetwork structures
dc.subjectNeural network model
dc.subjectPrediction horizon
dc.subjectSimulation
dc.subjectCognitive systems
dc.titleFuzzy cognitive modeling: Theoretical and practical considerations
dc.typeBook Chapter


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