计算机工程与应用Issue(7)：121-124,138,5.DOI:10.3778/j.issn.1002-8331.1206-0253
基于直觉模糊粗糙集相似度的多属性决策方法
Multi-attribute decision making method based on improved similarity measure of intuitionistic fuzzy rough sets
摘要
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 im-proved 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 consid-ered 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.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Key words
Intuitionistic Fuzzy Rough Sets(IFRS)/similarity measure/multi-attribute decision making/positive ideal solution/negative ideal solution分类
信息技术与安全科学引用本文复制引用
范成礼,邢清华,邹志刚,范学渊..基于直觉模糊粗糙集相似度的多属性决策方法[J].计算机工程与应用,2014,(7):121-124,138,5.基金项目
国家自然科学基金（No.60773209）。 （）
