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根据“坚持以人为本,树立全面、协调、可持续的发展观,促进经济社会和人的全面发展”的科学发展观内涵,从生活质量、人口素质、经济发展环境、社会发展环境、人力资本环境和生态环境6个准则筛选国民幸福指数、基尼系数等31个指标构建了人的全面发展评价指标体系.通过标准差修正的G1法(序关系分析法)对指标体系进行组合赋权,建立了基于标准差修正G1组合赋权的人的全面发展评价模型,并对我国2001-2007的人的全面发展进行评价.本文的创新与特色一是通过生活质量、人口素质和生态环境等6方面的评价,反映了和谐社会人与社会和谐、人与自然和谐、人与人和谐的基本要求,体现了以人为本的科学发展观.二是通过标准差修正G1组合赋权方法确定指标权重,使得组合权重体现专家意见和指标数据信息,避免了在主观赋权中指标重要性标度的给出人为主观确定,缺少客观依据的问题,避免了主客观权重分配的问题.
According to the connotation of scientific outlook on development of “adhering to the principle of” putting people first, establishing a comprehensive, coordinated and sustainable development concept, promoting economic, social and all-round development ", from the aspects of quality of life, population quality, environment for economic development, environment for social development, human capital Environmental and ecological environment six indicators selected National Happiness Index, the Gini coefficient of 31 indicators to build a comprehensive evaluation index system for human development by standard deviation correction G1 method (ordinal relationship analysis method) combination of indicators of the system to establish the right to establish Based on the standard deviation correction G1 combination of people’s overall development evaluation model and evaluation of China’s overall development of people from 2001 to 2007. The innovation and characteristics of this paper is through quality of life, population quality and ecological environment, etc. 6 aspects , Which reflects the basic requirements of human-centered scientific development in the harmonious society between man and society, harmony between man and nature, harmony between man and nature, and the second is to determine the weight of the index by the standard deviation correction G1 combination weighting method, so that the combination Weight reflects the opinions of experts and indicators of data and information to avoid the subjective empowerment of indicators in the scale of the given subjective and accurate Set, the lack of objective basis of the problem, to avoid the subjective and objective weight distribution problem.