A Study of Fuzzy Cognitive Map Model with Dynamic Adjustment Method for the Interaction Weights

Many influenced factors will directly or indirectly impact on system performance in a dynamic system. These factors are not always independent but interacted with each other. Therefore, it is an important issue for understanding the influence relationships of factors to improve the system performance. Fuzzy cognitive map (FCM) is one of analysis tools that it uses graphic network to show the causal relationships of influenced factors in a dynamic system. Recently, some studies are used the learning algorithms to adjust interaction weights among the factors to overcome the drawback in FCM. Therefore, the different types of threshold functions and the adjustable methods of interaction weights among the factors are considered to construct a flexible FCM model in this paper. And then, an example will be illustrated to explain the effectiveness of the flexible Fuzzy cognitive map model. Finally, the conclusions and research directions in the future are discussed at the end of this paper.