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1- ، Mehdi@iust.ac.ir
چکیده:   (15204 مشاهده)
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), Simulated Annealing (SA), and Tabu Search (TS). Implementation of the proposed method has demonstrated via real data of a purchase system in order to simulate the system’s behavior.
     
نوع مطالعه: پژوهشي | موضوع مقاله: و موضوعات مربوط
دریافت: ۱۳۸۸/۵/۱۱