Fuzzy cognitive map with dynamic fuzzification and causality behaviors

This paper introduces a proposed enhanced model of fuzzy cognitive map (FCM) called dynamic fuzzy cognitive map (DFCM). The aim is to make both of fuzzification mapping and causal relationships between concepts are environment sensitive. Accordingly, knowledge representation and inference process will be more flexible, reliable, and dynamic especially when dealing with complex and dynamic environments. A special set of environment dominant variables (V) is proposed that represents the environment prevailing conditions. The behavior of DFCM depends on V. Hence, the same fuzzy cognitive map knowledge and concept values will infer deferent outcomes in response to changes in V. Accordingly, it will be very appropriate to apply DFCM when modeling a wider spectrum of real world problems in various fields like decision support systems, control systems, medical diagnoses systems, effect-based planning, and prediction systems.