基于改进得分函数的直觉梯形模糊数群体多属性决策方法  

An Intuitionistic Trapezoid Fuzzy Number Group Multiple Attribute Decision Making Method Based on Improved Score Function

作　　者：李鹏宇[1] 吴冲[1] LI Peng-yu;WU Chong(School of Economics and Management, Harbin Institute of Technology, Harbin 150001, China)

机构地区：[1]哈尔滨工业大学经济与管理学院,黑龙江哈尔滨150001

出　　处：《运筹与管理》2021年第4期76-80,114,共6页Operations Research and Management Science

基　　金：国家自然科学基金资助项目(71771066)。

摘　　要：为考虑群体多属性决策问题中决策人的风险偏好,在直觉梯形模糊数的基础上,利用连续区间有序加权平均算子对直觉梯形模糊数进行化简,使其转换成直觉模糊数。并基于此提出了一种全新的得分函数。从而得到了一种全新的群体多属性决策方法,将其应用于具体算例中,给出了该方法的具体步骤并证明了有效性。In order to consider the risk preference of decision makers in group multi-attribute decision making,the intuitionistic trapezoidal fuzzy number is simplified by using ordered weighted average operator of continuous interval on the basis of intuitionistic trapezoid fuzzy number,which is transformed into intuitionistic fuzzy number.Based on this,a new scoring function is proposed.A new group multi-attribute decision-making method is obtained,which is applied to a specific example.The concrete steps of the method are given and the effectiveness of the method is proved.

关 键 词：直觉模糊数 直觉梯形模糊数 改进的得分函数 群体多属性决策 

分 类 号：C934[经济管理—管理学]