工业工程2011，Vol.14Issue(2)：57-60,69,5.
运用时序多指标决策的专家库动态优化
Dynamic Optimization of Expert-Base Based on Time Series Multi-Attribute Decision Making
摘要
Abstract
Peer review is a widely recognized approach. It is an expert review process and the performance is greatly dependent on the selection of experts that is done by using an expert-base. The information in an expert-base is often obtained by statically evaluating the experts' performance, but not dynamically updated. In this paper, the drawbacks are analyzed for such a review process. Based on the analysis, to solve this problem, we propose to dynamically update the expert-base by tracking their real-time performances. With time series multi-attribute decision making, dynamic experts'work performance evaluation is presented by choosing the appropriate time scale. Thus, the expert-base can be dynamically updated based on not only the static indexes but also their changes. In other words, the expert-base is dynamically optimized.关键词
同行评议/业绩评价/时序多指标决策/专家库Key words
peer review/ performance evaluation/ multiple attribute decision making/ expert-base分类
数理科学引用本文复制引用
李佳瑾,郭鹏..运用时序多指标决策的专家库动态优化[J].工业工程,2011,14(2):57-60,69,5.基金项目
国家自然科学基金资助项目(70672103) （70672103）
