关键词: 教师工作考核 逻辑特征映射 决策

Abstract:

Evaluating the performance at work helps enhance the enthusiasm, initiative and creativity of the academic staff,and helps build up a team with good moral standards and adequate professional competence. Nevertheless, the evaluation effect varies considerably due to the different measures adopted. The 
  introduction of LFM（Logistic Feature Mapping） Neural Network brings a scientific, intelligent and reasonable approach to the evaluation of the academi ic staff＇s performance. It provides the decision-makers with an effective and direct tool for reference.

Key words: （academic staff evaluation;logistic feature mapping（LFM）;decision-making）