A Vague Set Based OWA Method for Talent Evaluation  

作　　者：Peilong WANG Dandan LI Wei XU 

机构地区：[1]School of Management,University of Chinese Academy of Sciences,Beijing 100190,China [2]School of Information,Renmin University of China,Beijing 100872,China [3]School of Smart Governance,Renmin University of China,Suzhou 215123,China

出　　处：《Journal of Systems Science and Information》2024年第4期543-553,共11页系统科学与信息学报（英文）

基　　金：Supported by the National Natural Science Foundation of China(72271233),Suzhou Key Laboratory of Artificial Intelligence and Social Governance Technologies(SZS2023007);Smart Social Governance Technology and Innovative Application Platform(YZCXPT2023101)。

摘　　要：In recent years,decision-making under uncertainty has attracted substantial attention in both academia and industry,with a growing number of organizations prioritizing decision support for talent evaluation.Vague set theory has been recognized as a powerful tool to address the ambiguity of problem parameters and manage uncertainty.This paper introduces a novel talent evaluation method that harnesses the potential of vague sets.We construct a vague set Ordered Weighted Averaging(OWA)operator for offering a robust solution to intricate decision-making problems,especially in talent evaluation.The application of the OWA operator augments the decision-making process by providing a mechanism to handle the aggregation of information in a more flexible and comprehensive manner.Experimental results show the effectiveness of the proposed method,presenting an alternative for decision-makers,aiding them in selecting their preferred choices amidst uncertainty.

关 键 词：UNCERTAIN vague set talent evaluation OWA operator 

分 类 号：C962[经济管理—人力资源管理] C934[自动化与计算机技术—控制理论与控制工程] TP18[自动化与计算机技术—控制科学与工程]