关键词: 直觉模糊粗糙集, 相似度, 多属性决策, 正理想方案, 负理想方案

Abstract: Intuitionistic Fuzzy Rough Sets（IFRS） are applied to the problems of Multi-Attribute Decision Making（MADM）, and the method of MADM base on the improved similarity measure of IFRS is presented. Firstly, the improved similarity measure of IFRS is proposed which conquers the question of accurate degree of similarity measure by adding the hesitancy degree, and several important characters of it are revealed. Furthermore, the new method compares the alternatives with positive and negative ideal solution to realize alternative ranking, whose attribute values are considered as IFRS. At last, the practical example shows the feasibility and effectiveness of the proposed method, which has the preferable application foreground in information fusion field, such as situation assessment and target recognition.

Key words: Intuitionistic Fuzzy Rough Sets（IFRS）, similarity measure, multi-attribute decision making, positive ideal solution, negative ideal solution