Dynamic fuzzy reasoning model with fuzzy cognitive map in Chinese Chess

This paper provides a novel Chinese Chess model which is based on rule-based system and fuzzy cognitive map for reasoning a best legal move. A 10×9 guard matrix is generated by FCM to show the status of each intersection. Each entry in the matrix is called a guard value which indicates how an intersection is guarded by the player's side or attacked by the opponent's. We also reason the best next move with 36 rules by the membership functions of guard values. Based on the proposed model, not only the legitimacy of the next move can be improved but also the decision time is much shorter than the game tree searching method of alpha-beta model. An example is given to verify the effectiveness of the proposed methodology. Also, a multi-step decision method is presented to double check the legitimacy of this work.