多元判断偏好集结的混合群决策过程研究

发布时间：2018-04-14 03:36

本文选题：多元偏好表达 + 混合群体决策　；参考：《系统工程与电子技术》2017年01期

【摘要】：针对评价过程中出现的不同偏好表达,提出了两阶段集结的群体决策方法:个人偏好转换和多专家集结。个人偏好转换把不同专家做出的模糊偏好关系、效用函数、部分选择、偏好排序、语言偏好关系等表达方式,转换为归一化的数值绝对偏好,并在专家相对偏好的权重表达中,采用模糊有序加权平均(ordered weighted averaging,OWA)算子和语言有序加权平均(linguistic ordered weighted averaging,LOWA)算子;多专家集结则根据等差数的专家权重排列,并将权重做归一化处理,得出总分后即从可行方案中选出最优的方案,分数越高表明专家群体越为偏好,从而获得多元偏好表达的混合专家群体的民主选择结果。将该两步集结的方法用于某公司的人才综合评估中。与以往传统的选择方法相比,突出了决策者偏好表达的自由、民主的特征。
[Abstract]:According to the different preference expression in the evaluation process, a two-stage aggregation group decision-making method is proposed: individual preference conversion and multi-expert aggregation.The conversion of individual preference transforms the fuzzy preference relation, utility function, partial selection, preference sort and linguistic preference relation made by different experts into a normalized numerical absolute preference, and in the weight expression of experts' relative preference.Fuzzy ordered weighted average weighted averaging OWA-operator and linguistic ordered weighted average ordered weighted averagingloWA-operator are used, and multi-experts aggregation is arranged according to the expert weight of the equal difference number, and the weights are normalized.After the total score is obtained, the best scheme is selected from the feasible scheme. The higher the score is, the more preference the expert group is, and the result of democratic selection of the mixed expert group expressed by multiple preferences is obtained.This two-step aggregation method is applied to a company's comprehensive assessment of talent.Compared with the traditional selection method, it highlights the characteristics of freedom of expression and democracy.
【作者单位】：华南理工大学工商管理学院;
【基金】：教育部人文社会科学研究规划基金(14YJA630078)资助课题
【分类号】：O225

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