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机构地区:[1]长沙理工大学交通运输工程学院,湖南长沙410004 [2]国家级宁乡经济技术开发区,湖南长沙410600
出 处:《交通科学与工程》2011年第2期74-79,共6页Journal of Transport Science and Engineering
摘 要:为解决区域公路交通发展水平评价过程中指标众多、权重客观性难以保证等问题,提出了一种主成分分析法与熵值法相结合的组合评价方法.采用主成分分析法,消除指标之间信息相关性,简化了指标体系.通过熵值法进行客观赋权,进而建立了基于PCA-Entropy的区域公路交通发展水平综合评价模型.以山东省为例,进行了实例验证.研究结果表明,该模型合理、有效.To solve the problem of many index and ensure the objectivity of the weight in the process of regional highway transportation development level, a kind of combination evaluation method is proposed,i, e. the principal component analysis is combined with entropy method. Principal component analysis (PCA) is used to eliminate information correlation among the index, the index system is simplified. The objective weight is assigned through the method of Entropy, and then the comprehensive evaluation model is established for regional highway transportation development level which is based on PCA-Entropy. Finally, Shandong province is set as an example to prove the model teasonable and effective.
分 类 号:U491.1[交通运输工程—交通运输规划与管理]
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