群体评价者情感行为数据的客观过滤方法及模拟验证分析  

The Objective Filtering Method of Group Evaluator's Emotional Behavioral Data and Its Simulation Verification Analysis

作　　者：周莹[1,2] 易平涛 李伟伟[1] 宫诚举[3] Zhou Ying;Yi Pingtao;Li Weiwei;Gong Chengju(School of Business Administration,Northeastern University,Shenyang 110819,China;School of Management,Shenyang Jianzhu University,Shenyang 110168,China;School of Economics and Management,Harbin Engineering University,Harbin 150001,China)

机构地区：[1]东北大学工商管理学院,辽宁沈阳110819 [2]沈阳建筑大学管理学院,辽宁沈阳110168 [3]哈尔滨工程大学经济管理学院,黑龙江哈尔滨150001

出　　处：《中国管理科学》2024年第11期180-188,共9页Chinese Journal of Management Science

基　　金：国家自然科学基金项目(72001151);辽宁省社会科学规划基金项目青年项目(L21CGL023);辽宁省教育厅高等学校基本科研项目(LJKR0213);2022年辽宁省哲学社会科学青年人才培养对象委托课题(20221s1qnrcwtkt-48)。

摘　　要：针对非自主式群体评价领域中无形情感行为难以有形量化问题,运用概率思想提出一种群体评价者情感行为数据的客观过滤方法。首先,基于绝对、相对、变异性三个维度分别计算评价者的情感行为概率,从而达到过滤评价者情感行为数据的目的;然后,运用随机模拟算法生成评价者虚拟真实值,并对群体评价者情感行为进行逆向验证分析,统计不同情境下验证参数变化趋势,论证本文方法的可靠性与有效性;最后,通过绩效考核算例对上述研究内容进行求解和可行性说明。本文方法操作简单且无需其他主观数据介入,可用于隐性群体情感行为数据的评价信息便捷优化,引导评价相关者制定更为科学的评价参数并获取更高质量的评价信息。The evaluator's emotional behavior belongs to recessive behavior,such as the degree of worship and love of the evaluated object,which is difficult to quantify.Even the emotional behavior data obtained through a questionnaire survey may be difficult to distinguish between true and false.Aiming at the problem that it is difficult to quantify intangible emotional behaviors in the field of non-self-participatory group evaluation,an objective filtering method for group evaluators’emotional behavioral data is proposed using the idea of probability.Firstly,in the case of insufficient or unavailable data in the early stage,it is almost impossible to realize and convince the absolute recognition of the existence or nonexistence of intangible emotions.Therefore,the emotional behavior probabilities of the evaluators are calculated based on the absolute,relative,and variation dimensions,so as to filter the data.Secondly,there are relatively many subjective factors involved in emotional behavior data filtering,which will make it challenging to obtain the evaluator's true value in the method verification process.Thus,the random simulation algorithm is used to generate the virtual real value of the evaluators,and the emotional behavior of the group evaluators is inversely verified and analyzed.The trend of the verification parameters in different situations is counted to demonstrate the reliability and effectiveness of this method.Finally,an example of performance appraisal is given to solve the above research content and explain its feasibility.The main innovation and application value of this study are reflected in the following aspects(1)The original data that cannot determine the existence or nonexistence of emotional relationships is directly converted into the form of emotional probability.And the comprehensive probabilities of the evaluator's possible emotional behavior from multiple dimensions are analyzed to achieve emotional filtering of the original data.(2)Considering that the real value of the evaluation is diffi

关 键 词：综合评价 群体评价 情感过滤 行为数据 随机模拟 

分 类 号：C934[经济管理—管理学]