摘要
在多指标综合评价中 ,主成分分析方法是一种较为客观的综合评价方法 .利用这种方法对企业的经济效益指标进行综合评价 ,不仅能综合反映各企业经济效益强弱的各项信息 ,而且可以确定各指标的客观权重 .由此避免了决策者在多指标综合评价中遇到的需要确定指标权重的问题 .应用主成分分析方法 ,以 2 0 0 1年中国各地区全部国有及规模以上非国有工业企业主要经济效益指标为基础数据 ,对各地区工业企业经济效益进行综合评价 .
Among the methods of multiple indexes comprehensive evaluation, primary component analysis (PCA) is a relatively objective one. By using PCA in comprehensively evaluating indicators of economic benefit of enterprises, not only the information of economic benefit of various enterprises can be reflected comprehensively, but also the objective weights of various indicators can be determined which are usually needed by the decision makers. Taking the indicators on economic benefit of all state owned and non state owned industrial enterprises above designated scale in various regions of China in 2001 as fundamental data, the author uses PCA in comprehensively evaluating economic benefit of industrial enterprises in various regions. The results of evalution are basically consistent with the actual situation of enterprises in various regions.
出处
《华侨大学学报（自然科学版）》
CAS
2004年第3期322-325,共4页
Journal of Huaqiao University(Natural Science)
基金
福建省社会科学基金资助项目 ( 2 0 0 3B0 6 3)
关键词
经济效益指标
主成分分析法
综合评价
indicators on economic benefit, primary component analysis, comprehensive evaluation
