基于PCA-FCE的网络协同制造人才培养模式的评估

随着中国制造业的加快发展,原有的人才模式面临着一些问题.为了加快制造业的转型发展,需要相适应的人才评估模型来反映当前人才模式存在的问题.由于人才模式评估的复杂性和评价指标的不确定性,以及目前评估体系仅采用定性分析或单一的评价模式,导致评估难以量化,评估结果不够科学合理.对人才模式的评估指标分析整理并对存在冗余的评价指标进行剔除,选取最佳特征指标子集,确定人才培养模式的评估指标.然后利用PCA和FCE相结合的方式,对单个或多个人才模式选取合适的模糊合成算子进行评估.结果表明,PCA-FCE评估模型能够定性与定量结合分析当前人才模式,反映人才模式在设置上存在的问题,以便完善制造业的人才培养制度,促进制造业的加快发展.

Evaluation of the Talent Training Model for Network Collaborative Manufacturing Based on PCA-FCE

With the accelerated development of China''s manufacturing industry, the original talent model is facing some problems. In order to accelerate the transformation and development of the manufacturing industry, a suitable talent evaluation model is needed to reflect the current problems in the talent model. Due to the complexity of talent model evaluation and the uncertainty of evaluation indicators, and the current evaluation system only uses qualitative analysis or a single evaluation model,it is difficult to quantify and the evaluation results are not scientific and reasonable. The evaluation indicators of the talent model and eliminates the redundant evaluation indicators is analyzed and sort out, the best feature index subset is selected, and determines the evaluation indicators of the talent training model is determined. Then use the combination of PCA and FCE to select appropriate fuzzy synthesis operators for single or multiple talent models for evaluation. The results show that the PCA-FCE evaluation model can analyze the current talent model qualitatively and quantitatively, and reflect the problems in the setting of the talent model, so as to improve the talent training system of the manufacturing industry and promote the accelerated development of the manufacturing industry.