摘要
针对创新人才培养绩效研究局限于事后评估、系统性不强等问题,文章从系统演化的角度对创新人才培养体系进行分析,从而构建基于管理耗散的创新人才培养绩效评价指标体系。针对创新人才培养绩效评价存在自然语言环境下复杂系统决策的不确定性问题,提出了一种云集成评判模型,既解决了自然语言下的决策不确定性,又避免了人为赋权的主观干扰,还可以方便、快捷的得到确定性的评测结果。
In the paper, the evaluation index system of innovative talents training performance is first constructed based on managerial dissipation and system evolution, which aim to the research of innovative talents training performance is limited to such problems as post evaluation, systemic. This paper proposes a clouds integrated evaluation model to solve the uncertain problems in complex system decision making. The model overcomes the uncertainty of decision in natural language, and avoids the man-made interference in weighting.The certain result can be obtained conveniently andquicklyby using the model.
出处
《统计与决策》
CSSCI
北大核心
2017年第4期53-56,共4页
Statistics & Decision
基金
国家社会科学基金青年课题(CIA110139)
中央高校基本科研业务费研究专项项目(sksz201406)
关键词
创新人才培养绩效
管理耗散
云集成评价模型
innovative talents training performance
managerial dissipation
clouds integrated evaluation model
