Abstract
A design method of Fuzzy Cognitive Map (FCM) model is simulated and verified with both PSO algorithm and SA algorithm based on computational intelligence. The aim is to develop the design method of FCM effectively and concentrate on the algorithmic way of forming the FCM model while overcome the involvement of subjective factors from the manual or user-driven interference in the case of real world application. Simulation experiment of information granules representation for time series analysis is carried out to evaluate the behavior of the proposed method and algorithm performance. With data sample is given, connection matrix is generalized using supervised training process in a reasonable way. The parameters of node number and transmission function are introduced and discussed to assess performance and quality of candidate FCM configuration for further analysis and representation. The proposed approach is alternative way for FCM model based application.
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