基于相对熵的区间型直觉模糊集多属性决策方法  

Method for Interval-valued Intuitionistic Fuzzy Set based on Information Relative Entropy

作　　者：闫颖慧[1] 祖璇 

机构地区：[1]安徽大学数学科学学院,安徽合肥230601

出　　处：《佳木斯大学学报（自然科学版）》2015年第1期142-144,共3页Journal of Jiamusi University：Natural Science Edition

基　　金：国家自然科学基金(71371011);安徽省高等学校省级自然科学研究重点项目(KJ2013A033)

摘　　要：针对属性权重完全未知且属性值为区间的直觉模糊集的多属性决策问题进行了研究,定义了区间型直觉模糊数相对熵和含参数新的得分函数,然后由TOPSIS方法得到权重,最后通过实例分析验证了所提出方法的有效性和可行性.The multiple attribute decision making problems with completely unknown attribute weight in-formation and interval -valued intuitionistic fuzzy number were investigated .The new scored function and infor-mation relative entropy about interval -valued intuitionistic fuzzy number were defined .Then attribute weights were decided by the TOPSIS method .Finally, an illustrative example was given to show the effectiveness and feasibility of the method .

关 键 词：区间直觉模糊集 相对熵 多属性决策 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]