摘要
在综合考虑直觉模糊集(IFS)的直觉信息和模糊信息的基础上,提出广义直觉模糊熵的定义;分析直觉模糊集的直觉信息和模糊信息对广义直觉模糊熵的影响;在合理选取广义直觉模糊熵参数的前提下,基于熵权法构建一种同时获取决策者和属性权重的方法.案例分析验证了所提出方法的可行性和有效性,为解决权重信息完全未知的多属性群决策(MAGDM)问题提供一类新思路.
The concept of the generalized intuitionistic fuzzy entropy is developed by considering the intuitive and fuzzy information with respect to an intuitionistic fuzzy set（IFS）. The influence of an IFS＇s respective information on its generalized intuitionistic fuzzy entropy is analyzed. With the premise of determining the parameters of the generalized intuitionistic fuzzy entropy reasonably, an efficient method based on the entropy weight approach is proposed to determine the weights of decision makers and that of attributes simultaneously. The proposed weight determination method can be applied to address the multi-attribute group decision making problem in which the weight information is completely unknown. Finally, a numerical example is provided to illustrate the effectiveness and feasibility of the proposed method.
出处
《控制与决策》
EI
CSCD
北大核心
2017年第5期845-854,共10页
Control and Decision
基金
国家自然科学基金项目(71371156
71401142)
香港特别行政区研究资助委员会(T32-101/15-R)
关键词
多属性群决策
广义直觉模糊熵
权重
熵权法
multiple attribute group decision making
generalized intuitionistic fuzzy entropy： weight
entropy weightapproach
