Learning FCM by Data Mining in a Purchase System
Publish place: International Journal of Industrial Engineering & Production Research، Vol: 20، Issue: 1
Publish Year: 1388
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJIEPR-20-1_002
تاریخ نمایه سازی: 7 شهریور 1393
Abstract:
Fuzzy Cognitive Maps (FCMs) have successfully been applied in numerous domains to show the relations between essential components in complex systems. In this paper, a novel learning method is proposed to construct FCMs based on historical data and by using meta-heuristic: Genetic Algorithm (GA), SimulatedAnnealing (SA), and Tabu Search (TS). Implementation of the proposed method has demonstrated via real data of a purchase system in order to simulate the systems behavior.
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Authors
S. Alizadeh
Author is Assistant professor with the Department of Industrial engineering, K.N.Toosi Univ
M. Ghazanfari
Author is Associated professor of Industrial Engineering, IUST
M. Fathian
Author is Associated professor of Industrial Engineering, IUST