加权犹豫模糊集的Lance距离测度及其应用  

Weighted Hesitant Fuzzy Lance Distance Measures and Its Application

作　　者：贾新玲 王拥兵 JIA Xinling;WANG Yongbing(School of Mathematics and Physics,Anqing Normal University,Anqing 246133,China)

机构地区：[1]安庆师范大学数理学院,安徽安庆246133

出　　处：《安庆师范大学学报（自然科学版）》2022年第1期59-67,共9页Journal of Anqing Normal University(Natural Science Edition)

基　　金：安庆师范大学科研发展基金(100001104)。

摘　　要：在多属性群决策过程中,犹豫模糊元中不同隶属度所占权重直接影响最终的评价结果。因此,提出一种基于加权犹豫模糊集的Lance距离多属性群决策方法。利用加权犹豫模糊集的熵构造属性信息权重的确定模型,给出加权犹豫模糊集的Lance距离的TOPSIS方法以及生成算法。通过流感疫苗供货商的选择,验证了该方法是可行的和有效的。In the process of multi-attribute group decision-making,the weight of different membership degrees in hesitant fuzzy elements will directly affect the final evaluation results.A method of multi-attribute group decision-making based on lance distance of weighted hesitant fuzzy sets is proposed.By using the entropy of weighted hesitant fuzzy sets,a model for determining the weight of attribute information is constructed,and the TOPSIS method and algorithm of weighted hesitant fuzzy Lance distance is given.Finally,the feasibility and effectiveness of this method are illustrated by the selection of influenza vaccine suppliers.

关 键 词：犹豫模糊集 加权犹豫模糊元 Lance距离 TOPSIS方法 

分 类 号：O159[理学—数学] TP391[理学—基础数学]