摘要
提出了一种基于直觉模糊集的多目标多属性决策问题的新记分函数,该记分函数从距离的角度选择最优方案,使最优方案接近最优理想方案,同时远离负理想方案.并对已有的基于直觉模糊集的多目标模糊决策方法进行分析与联系,通过实例阐明了本文提出的新记分函数的有效性.
A new score function for handling muhiattribute fuzzy decision making problems based on intuitionistic fuzzy sets is presented in this paper. This score function based on distance is given to select the best one, which is close to the ideal alternative and far away from the negative. Moreover, present methods connected with intuitionistic fuzzy sets are analyzed. It is proved by examples that this new score function is efficient.
出处
《昆明理工大学学报（理工版）》
2008年第6期109-112,124,共5页
Journal of Kunming University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(项目编号:70772094)
关键词
多目标模糊决策
直觉模糊集
距离
记分函数
muhiattribute decision- making
intuitionistic fuzzy sets
distance
score function
