No abstract

No abstract

No abstract

No abstract

Fuzzy Cognitive Maps (FCMs) are widely applied to describe the internal connections, including their direction and strength among major components of complex systems. The popularity of FCMs application in various fields (e.g. medicine, sustainable waste management) is mostly based on their simple, clear way of system representation, easy model creation and usage for the experts of the field, decision support by simulations using several interesting scenarios, etc. If historical, measured data of the investigated system is available then the model can be created by using a suitable learning technique. This is the preferable way of model construction, because it is not affected by more or less subjective opinions of human experts. Such data is not always available, however. In these cases the experts involved in model creation have to take the responsibility for the realistic mapping of the system. Unfortunately a small change in the estimated strength of connection between two factors of the system may lead to significantly different simulation outcome. The preliminary exploration of model 'sensitivity' to such subtle modifications is very important to decision makers. In these cases specific connections can be further investigated and if necessary, their strength is corrected. This paper deals with the advanced version of a behavioral analysis. Based on the experiences of the authors, their method is further improved to generate more lifelike , slightly modified model versions based on the original one suggested by experts. The details of the method is described, its application and the results are presented by an example of a banking application.