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基于AHP和BP神经网络的企业R&D人员胜任力评价 被引量:48

Evaluation of R&D Personnel's Competence based on AHP and BP Neural Network in the Enterprise
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摘要 为了对企业R&D人员的胜任力进行评价,采用行为事件访谈法构建了R&D人员胜任力模型,并对各项胜任力指标的内涵作了诠释;利用层次分析法确定了各个层次胜任力指标的权重,给出了R&D人员胜任力评分;设计了R&D人员胜任力评价的BP神经网络模型,并将层次分析法得出的结果作为样本,对BP网络进行了训练和测试.研究结果表明,基于AHP和BP神经网络的企业R&D人员胜任力评价是可行的. By means of the behavior event interview, a competence model on R&D personnel was established in order to evaluate R&D personnel' s competence. Each of competence indices was explained. The competence index weight on every level was determined by using the analytic hierarchy process (AHP). R&D personnel's competence scores were given too. Back propagation (BP) neural network model on the R&D personnel' s competence evaluation was designed. BP network was trained and tested by the sample that was attained by AHP. Results show that R&D personnel's competence evaluation based on AHP and BP network is feasible.
作者 江卫东
出处 《系统工程理论与实践》 EI CSCD 北大核心 2007年第6期56-63,共8页 Systems Engineering-Theory & Practice
关键词 R&D人员 胜任力评价 层次分析法 BP神经网络 research and development personnel competence evaluation the analytic hierarchy proeess~ back propagation neural network
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