发现直觉模糊数可能度的传统定义考虑的因素不全面,计算结果不太符合常理,提出基于均匀分布的直觉模糊数可能度定义,得到相对简单且精确的可能度计算公式;证明可能度的传统定义不稳定;探索多属性直觉模糊集利用可能度进行决策的方法。最后,运用多属性直觉模糊集决策实例,既验证基于均匀分布的可能度定义的优越性,又验证可能度传统定义的不稳定性和不能敏锐区别方案间的差别,难以得到最优决策,甚至可能导致错误决策。
This paper found the traditional definition of possibility degree of intuitionistic fuzzy numbers was not considerate and its result is not very good for common sense, then proposed a new definition of possibility degree of intuitionistic fuzzy numbers based on uniform distribution,and got a relatively simple and exact formula for calculating possibility degree. It proved that the traditional definition of possibility degree was unstable, then explored a decision making method with possibility for multiple attributes intuitionistic fuzzy sets. Finally, it used a decision-making example of multiple attributes intuitionistic fuzzy sets to verify the advantage of possibility degree based on uniform distribution, and also to verify the traditional definition of possibility degree was unstable and not able to sensitivity distinguish the nice distinction between programmes and, so it is difficult to get the best decision and even may lead to false decision.