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

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.

Fuzzy Cognitive Map (FCM); Learning; System Dynamics (SD); Data Mining