【摘要】 针对现有的区间直觉模糊熵未能全面体现区间直觉模糊集所包含的信息,从而会导致相关熵应用的多属性群决策出现偏差这一问题,提出了一种基于知识测度的区间直觉模糊多属性群决策方法.首先,利用扩展的区间直觉模糊知识测度确定属性权重;然后,利用区间直觉模糊加权算术平均算子集成信息,得到各备选方案的综合属性值,进而用得分函数对方案进行排序.最后通过一个实例表明了提出方法的合理性和有效性.更多还原

【Abstract】 In view of the problem that the existing entropy fails to fully reflect the information contained in the interval-valued intuitionistic fuzzy sets,which will lead to a deviation from the multi-attribute group decision making for the related entropy application,this paper proposes a interval-valued intuitionistic fuzzy multi-attribute group decision making method based on knowledge measure.First,the attribute weights are determined by the extended interval-valued intuitionistic fuzzy knowledge measure.After,according to the decision matrix and the attribute weights,the synthesized attribute value of each project is got by using the interval-valued intuitionistic fuzzy weighted arithmetic average operator.Then,the score function is used to sort the scheme.Finally,an example is given to show the rationality and effectiveness of the proposed method.更多还原