基于主成分-可变模糊分析的省区低碳经济评价体系探索  

An Exploration of Low-Carbon Economy of Provinces Based on Principal Component-Variable Fuzzy Evaluation

作　　者：谷建龙[1] 胡吉敏[2] 

机构地区：[1]云南省科学技术情报研究院,云南昆明650051 [2]昆明理工大学电力工程学院,云南昆明650051

出　　处：《生态经济（学术版）》2013年第2期70-73,共4页Ecological Economy

摘　　要：可变模糊集理论综合评价中,针对各指标之间信息重叠和指标权重主观设定的问题,应用主成分分析求解相应指标的权重,同时降低可变模糊综合评价的维度。文章综合评价了云南2005~2009年低碳经济发展现状,结果相对于仅可变模糊集理论评价结果更接近实际,主成分-可变模糊分析为区域低碳经济发展状况综合评价提供了一种可行的方法。In the comprehensive evaluation with variable fuzzy sets theory( VFST),there are two problems of overlapping information each index and subjective setting weight. The principal component analysis( PCA) is applied to solve the weight and to reduce the variable fuzzy comprehensive evaluation dimensions. We apply the PCA-VFST and get results of the comprehensive evaluation of Yunnan low carbon economy development present situation from 2005 to 2009. Relative to the evaluation results by only variable fuzzy sets theory,the results are more close to reality. Meanwhile PCA-VFST provides a feasible method for the comprehensive evaluation of regional low-carbon economy.

关 键 词：低碳经济 主成分 可变模糊 综合评价 

分 类 号：F224[经济管理—国民经济] F127F205