摘要
在传统集对分析的基础上,分析具有元素权重的集对的同异反特性变化规律,建立基于马尔可夫链的集对分析的动态模型,并将其应用于人力资源动态绩效的评价与预测,取得很好的效果。
On the basis of traditional set-pair analysis, the dynamic transition rules of homology, difference and opposition properties with element weights are introduced so as to establish the dynamic model of set-pair analysis based on Markov chain. It is applied to dynamic performance evaluation in predicting of human resource and shows better results.
出处
《系统工程》
CSCD
北大核心
2004年第5期35-38,共4页
Systems Engineering
基金
国家自然科学基金资助项目(70071023)
关键词
集对分析
转移矩阵
稳态联系度
人力资源
动态绩效
Set-pair Analysis
Transition Matrix
Stable Connection-degree
Human Resource
Dynamic Performance
