摘要
针对群体评价中如何对各评价者的评价信息进行集结的问题,文章提出了一种基于评价信息满意度的群体信息集结方法,该方法改变了以往研究中评价者权重固定不变的思想,而是综合考虑评价者对评价问题的总体认知情况和对评价信息中各元素的认知情况从而确定针对不同元素集结时的评价者权重,旨在使集结的群体评价信息更趋于合理和公正。首先设定评价情景,提出研究假设并给出评价信息满意度的定义;然后根据不同的评价信息给出评价信息满意度矩阵的确定方法;根据各评价者的评价信息满意度矩阵确定各评价者在集结过程中的权重矩阵;按照各评价者的评价信息满意度的大小对评价信息进行集结。最后,用一个算例检验了方法的有效性。
In order to address how to aggregate individual evaluator’s evaluation information in the group evaluation,this paper proposes a group information aggregation method based on the evaluation of information satisfaction.This method changes the idea that the weight of evaluators is fixed in previous studies.Instead,the evaluators weight for the aggregation of different elements is determined by considering the overall cognition of evaluators on the evaluation problem and the cognition of each element in the evaluation information,so as to make the information of group evaluation more reasonable and fairer.Firstly,the paper sets up the evaluation scenario,proposes the research hypothesis,and gives the definition of evaluation information satisfaction.And then,according to different evaluation information,the paper gives the determination method of evaluation information satisfaction matrix,depending on the evaluation information satisfaction matrix of each evaluator to determine the weight matrix of each evaluator in the aggregation process,and aggregating the evaluation information according to the degree of evaluation information satisfaction of each evaluator.Finally,the paper offers an example to verify the effectiveness of the proposed method.
作者
宫诚举
郑红
李玲玉
郭亚军
Gong Chengju;Zheng Hong;Li Lingyu;Guo Yajun(School of Economics and Management,Harbin Engineering University,Harbin 150001,China;School of Business Administration,Northeastern University,Shenyang 110169,China)
出处
《统计与决策》
CSSCI
北大核心
2019年第2期44-48,共5页
Statistics & Decision
基金
国家自然科学基金资助项目(71671031
71473033
71701040)
教育部人文社会科学研究青年基金项目(17YJC630067)
关键词
群体评价
信息集结
评价信息满意度
评价者权重
权重矩阵
group evaluation
information aggregation
evaluation of information satisfaction
weights of evaluators
weight matrix