摘要
为了更加全面地描述犹豫模糊集多属性群决策信息,对犹豫模糊集中的隶属度添加关联的决策专家综合权重,由此定义了加权犹豫模糊集.在用加权犹豫模糊集刻画决策信息的基础上,构建了在单个属性角度下对备选方案排序的2种算法.数值算例验证了2种算法的可行性,2种算法操作简单、计算方便且可以相互转换.
In order to describe the multi-attribute group decision information of hesitant fuzzy set more comprehensively,the weighted hesitant fuzzy set is defined by adding the associated comprehensive weight of decision expert to the membership degree of hesitant fuzzy set.On the basis of using weighted hesitant fuzzy set to describe decision information,two algorithms for sorting alternative solutions based on single attribute view are established.Finally,the feasibility of the two algorithms are verified by a concrete case.The results show that the two algorithms are easy to operate and calculate,and can be converted into each other.
作者
朱国成
ZHU Guocheng(School of General Education,Guangdong Innovative Technical College,Dongguan 523960,Guangdong China)
出处
《吉首大学学报（自然科学版）》
CAS
2023年第4期9-18,共10页
Journal of Jishou University(Natural Sciences Edition)
关键词
加权犹豫模糊集
平面向量得分函数
平面向量离差程度函数
决策专家
综合权重
weighted hesitant fuzzy set
plane vector score function
deviation degree function of plane vector
decision making expert
comprehensive weight
