基于直觉模糊交互影响算子的多属性决策方法

发布时间：2018-07-06 19:17

本文选题：决策 + 直觉模糊集　；参考：《系统科学与数学》2017年03期

【摘要】：针对属性权重未知,属性值为直觉模糊数的多属性决策问题,并考虑到直觉模糊集隶属度与非隶属度的相互影响关系,提出了一种基于直觉模糊熵和直觉模糊交互影响算子的决策方法.利用直觉模糊熵求出属性权重,引入三种直觉模糊交互影响算子:广义直觉模糊交互影响加权平均算子,广义直觉模糊交互影响有序加权平均算子和广义直觉模糊交互影响混合平均算子,利用交互影响算子来集结信息得到方案综合评价值,通过改进的得分函数对方案进行排序选优.最后,通过一个算例说明了该决策方法的合理性和有效性.
[Abstract]:In view of the problem of multi-attribute decision making in which the weight of attribute is unknown and the attribute value is intuitionistic fuzzy number, the interaction between membership degree and non-membership degree of intuitionistic fuzzy set is considered. A decision method based on intuitionistic fuzzy entropy and intuitionistic fuzzy interaction operator is proposed. Using intuitionistic fuzzy entropy to calculate attribute weights, three kinds of intuitionistic fuzzy interaction operators are introduced: generalized intuitionistic fuzzy interaction influence weighted average operators, The generalized intuitionistic fuzzy interaction influence ordered weighted average operator and generalized intuitionistic fuzzy interaction mixed average operator are used to aggregate the information to obtain the comprehensive evaluation value of the scheme. The scheme is sorted and optimized by improved score function. Finally, an example is given to illustrate the rationality and effectiveness of the method.
【作者单位】：福州大学经济与管理学院;福建江夏学院电子信息科学学院;福州大学信息管理研究所;福州大学信息化建设办公室;
【基金】：福建省社科规划项目(FJ2016C028) 福建省教育厅重点科研项目(JAT160097) 福建省中青年教师科研项目(JAT160556,JAT160559) 福州大学信息化办公室课题(FXK-16001)资助课题
【分类号】：O159;O225

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