基于C-OWA算子区间直觉模糊信息集成的决策方法

An approach to decision making based on the aggregation of the interval-valued intuitionistic fuzzy information using C-OWA operators

直觉模糊集是对传统的模糊集的理论进行了拓展,它更加细致地刻画了模糊形象.论文引进C-OWA算子,给出了两个区间数的大小比较的新方法;针对区间直觉模糊信息的多属性决策矩阵,定义了方案的区间直觉模糊信息的理想点,并利用方案属性值与理想点的Euclidean距离,给出了区间直觉模糊信息的多属性决策矩阵的一种排序方法;最后利用实例说明了该方法的可行性和有效性.

Intuitionistic fuzzy sets were extended to the traditional fuzzy sets, which could describe the fuzzy phenomena in details. The continuous interval argument ordered weighted averaging（C-OWA） operator was introduced to gave the new method to compare two intervals. The ideal points of the interval-valued intuitionistic fuzzy information were defined, according to the interval-valued intuitionistic fuzzy information matrices of dececision making. Based on the Euclidean distance of the ideal points and multi-attribute intervalvalued intuitionistic fuzzy information, a ranking approach to multi-attribute decision making matrix with interval-valued intuitionistic fuzzy information was given. A practical example was provided to verify the feasibility and effectiveness of the developed approach.