基于决策者风险偏好的区间直觉模糊数多属性决策方法

摘要

We present a new method for multi-criteria fuzzy decision making based on interval-valued intuitionistic fuzzy sets.First the decision maker's risk attitude is induced for converting an interval-valued intuitionistic fuzzy number to be a parametric intuitionistic fuzzy number. Then by considering decision makers'herd behavior when he/she hesitates in an election,the hesitancy degree impacts on the scores of intuitionistic fuzzy numbers.According to above anal-ysis,a new score function is defined and used for ranking interval-valued intuitionistic fuzzy numbers.Furthermore,a method is proposed to deal with multi-criteria fuzzy decision making problems based on the new score function.Finally,a numerical example is given to illustrate the feasibility and effectiveness of the new method.%依据决策者的风险偏好，将区间直觉模糊数转化为含参数直觉模糊数，然后基于直觉模糊数投票模型和人们从众心理分析直觉模糊数的犹豫度对其得分的影响，进而定义直觉模糊数新的得分函数，并以此作为区间直觉模糊数的排序指标，提出一种新的区间直觉模糊数模糊决策方法，最后通过例子验证该方法的可行性和有效性。