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Peta Kognitif Fuzzy (FCM)×Jaringan Bayesian×
BidangKomputasi LunakBayesian
KeluargaProcess / pipelineBayesian methods
Tahun asal19861988
PencetusBart KoskoJudea Pearl
TipeFuzzy causal/feedback network for scenario analysisProbabilistic graphical model
Sumber perintisKosko, B. (1986). Fuzzy cognitive maps. International Journal of Man-Machine Studies, 24(1), 65–75. DOI ↗Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann. ISBN: 978-1558604797
AliasFCM, Kosko cognitive map, causal cognitive map, bulanık bilişsel haritalarBayes network, belief network, probabilistic graphical model, directed graphical model
Terkait44
RingkasanA fuzzy cognitive map, introduced by Bart Kosko in 1986, represents a system as a network of concepts connected by signed, weighted causal links, and simulates how the concepts influence one another over time. By combining the intuitive structure of a cognitive map with fuzzy weights and iterative activation, FCMs let experts encode causal knowledge and then run what-if scenarios — making them popular for policy analysis, strategic decision-making, and modelling complex socio-technical systems.A Bayesian network is a probabilistic graphical model, introduced by Judea Pearl in 1988, that encodes a set of variables and their conditional dependencies as a directed acyclic graph (DAG). Each node represents a variable; each directed edge encodes a direct probabilistic influence. By combining Bayes' rule with the graph's conditional independence structure, the model supports reasoning under uncertainty — computing the probability of any variable given observed evidence about others.
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ScholarGateBandingkan metode: Fuzzy Cognitive Maps · Bayesian Network. Diakses 2026-06-15 dari https://scholargate.app/id/compare