一种考虑行为特征的群体多准则分类方法  

A Group Multi-Criteria Sorting Method Considering Behavioral Characteristics

作　　者：王亮 杨颜青 王应明 WANG Liang;YANG Yan-qing;WANG Ying-ming

机构地区：[1]福州大学经济与管理学院

出　　处：《电子科技大学学报(社科版)》2025年第2期82-94,共13页Journal of University of Electronic Science and Technology of China(Social Sciences Edition)

基　　金：国家自然科学基金(71901071);教育部人文社科基金(23YJA630096);福建省社会科学基金(FJ2023B048);福建省自然科学基金(2021J01569)。

摘　　要：针对现有群体多准则分类研究没有考虑专家的行为特征和参考轮廓共识达成复杂且耗时的问题,本文提出了一种新的群体多准则分类方法。首先,利用犹豫模糊集和犹豫模糊语言术语集刻画专家给出参考轮廓时的犹豫行为;接着,在考虑不同专家不同调整量的基础上使用基于数学规划的方法对参考轮廓达成共识;然后,利用前景理论刻画专家的有限理性行为,根据备选方案相较于群体参考轮廓的综合前景价值确定类别;最后,将本文方法应用于具体案例,通过对比分析验证了本文方法的有效性与优越性。本文方法考虑了分类过程中专家的行为特征,更接近分类问题的实际情况;另外,使用达成共识的参考轮廓进行分类,有助于得到更加合理可靠的分类结果。Aiming at the existing group multi-criteria sorting studies that do not consider the behavioral characteristics of experts and the complexity and time-consuming of reaching consensus on group reference profiles,this paper proposes a new group multi-criteria sorting method.Firstly,the hesitant fuzzy sets and the hesitant fuzzy linguistic term sets are used to portray the hesitant behavior of experts in giving reference profiles.Secondly,a mathematical planning-based method is used to reach consensus on group reference profiles based on the consideration of different adjustment amounts of different experts.Thirdly,the prospect theory is used to portray the bounded rational behavior of experts,and the alternatives’classes are determined based on the comprehensive prospect value compared to group reference profiles.Finally,this method is applied to specific cases,and the effectiveness and superiority of this method are verified through comparative analysis.This method considers the behavioral characteristics of the experts in the sorting process,which is closer to the actual situation;in addition,using group reference profiles which are reached consensus to sort helps to obtain more reasonable and reliable sorting results.

关 键 词：群体多准则分类 有限理性行为 犹豫行为 群体共识 

分 类 号：C934[经济管理—管理学]