1- ، Mehdi@iust.ac.ir
چکیده: (22308 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: 1388/5/11 | انتشار: 1388/2/25