Intuitionistic Fuzzy Group Decision Making Algorithm for Rule Priority Ranking

An intuitionistic fuzzy group decision making algorithm is proposed to ensure the rationality of priority ranking and to improve the quality of ranking. Firstly, according to the influencing factors of the rule priorities, a multi-attribute group decision making based ranking model is proposed. Then, considering the characteristics of the experts' attributes evaluation information, the intuitionistic trapezoidal fuzzy number based information representation and aggregation method is adopted, and the rule ranking is evaluated in terms of the expectation and expectant score of the intuitionistic trapezoidal fuzzy number. Finally, an example analysis demonstrates the feasibility and effectiveness of the proposed method.