福建省主要城市自主创新投入能力的组合评价模型

发布时间：2018-01-12 23:04

本文关键词：福建省主要城市自主创新投入能力的组合评价模型　出处：《华中师范大学》2015年硕士论文　论文类型：学位论文

【摘要】：在提倡建立自主创新国家的时代背景下,研究一个城市的创新能力,为领导城市的发展做出正确的决策具有一定的意义。创新能力包括许多方面,其中创新投入能力能够充分体现出一个城市的经济发展情况以及城市领导者对创新能力的重视程度。而评价模型的目的是为了了解各个对象在各指标上存在的差异,为决策者做出合理科学的政策提供一定的理论依据。本文主要研究2011年福建省福州、厦门、泉州、三明、莆田、南平这六个城市在科学技术支出、教育支出、普通高中教师人数、普通高中学生人数这四个指标上的创新投入能力的评价模型,为福建省领导这六个城市的发展做出科学的政策提供一些建议。这篇文章主要有三个目的：(1)探索福建省这六个城市在创新投入能力上的排名情况；(2)进一步探究熵权法、灰度关联法、主成份分析法、层次分析法这四个模型在评价福建省这六个城市的创新投入能力方面的的可用性；(3)通过组合评价模型的事前事后检验,探究出这六个城市在创新投入能力方面更合理的组合评价模型。本文首先建立了熵权法、灰度关联法、主成份分析法、层次分析法这四种单一评价模型。熵权法模型是通过利用加权求和公式计算出样本的评价值,得到这六个城市的评价值为U=(0.6436,0.6957,0.7577,0.2737,0.2972,0.2221)T；灰度关联法模型则是通过计算出数据的关联系数, 得到关联度大小B=(0.6761,0.6012,0.8139,0.3972,0.4199,0.3831)T：主成份分析法模型是以特征值的贡献率加权系数来计算总得分的,得到综合得分的表达式为：F=68.823F1+28.561F2, 计算得到各城市的综合得分分别为F=(71.2601,-22.9713,113.4785,-58.3065,-35.4973,-67.9628)T。本文中层次分析法模型则先由专家构造出判断矩阵,通过一致性检验后,计算出单排序值,最后计算出总排序值w=(0.2524,0.3023,0.2733,0.0638,0.0663,0.0418)T。其次探究了进行评价方法集成的事前事后检验,得出可以进行集合的评价模型,从而建立了平均值法、模糊Borda法、最小偏差法、拟合法这四个组合模型。平均值法模型是对单一模型的排序值进行分数转化后再进行总排序值模糊Borda法在平均值模型上考虑得分差异因素计算出模糊Borda分数FB=(2.8000,4.1333,0.0667,9.3333,7.0000,11.6667)T；最小偏差法模型则是把客观熵权法与主观层次分析法进行集合得到的优化模型,得到评价值X=(0.4611,0.5171,0.5104,0.1714,0.1814,0.1308)T；拟合法模型则是集合客观灰度关联法与主观层次分析法 , 拟合得到评价值X=(0.6310,0.7437,0.6964,0.3848,0.3943,0.3664)T。最后综合单一与组合评价模型,得到的结论是：建立主客观相结合的组合模型——最小偏差模型与拟合模型的结果更合理。福建省这六个城市在创新投入能力的排序中,厦门位居第一、泉州第二、福州第三,第四五六名分别是莆田、三明及南平。这与2011年这六个城市发展情况大致吻合。文章针对这六个城市经济发展的不同特点,还提出相对应的建议：厦门要加大对职业技术教育的投入；泉州则要加大对新兴产业技术的投入；福州须完善对科技的投入体系；莆田可以靠旅游实行跨越式发展；三明要以食品带动对科技与人才培养的投入;南平应该以农业促经济,带动科技与人才的发展。希望这能够为福建省的领导对城市发展做出决策时候提供一些参考意见。本文针对不同的模型,主要借助Matlab、SPSS、Lingo软件来实现模型的求解,具有较高的精确度。
[Abstract]:The establishment of the national independent innovation in the background of advocating, a city of innovation ability, has certain significance for the development of the leadership of the city to make correct decisions. The innovation ability includes many aspects, the innovation capacity can fully reflect a city's economic development and city leaders on the importance of innovation ability and evaluation model in order to understand the difference of each object in the presence of each index, to provide a theoretical basis for decision makers to make reasonable policy. This paper mainly studies the Fujian province in 2011 in Fuzhou, Xiamen, Quanzhou, Sanming, Putian, Nanping city in the six science and technology expenditure, education expenditure, ordinary high school the number of teachers, evaluation of innovation input ability of these four indicators on the model number of the students in ordinary high school, the development of the six leading city in Fujian province to make a scientific To provide some policy suggestions. This article has three main purposes: (1) to explore the six city in Fujian province innovation investment ranking ability; (2) to further explore the entropy method and gray correlation method, principal component analysis, analytic hierarchy process of the four models in the availability of ability the innovation evaluation of Fujian Province, the six city; (3) through the combination evaluation model before and after the inspection, to explore the combination evaluation of the six city investment in innovation ability of a more reasonable model. This paper firstly established the entropy method, gray correlation method, principal component analysis, the analytic hierarchy process the four single evaluation model. Entropy model is obtained by using weighted summation formula to calculate the sample evaluation value, get the evaluation of the six city value of U= (0.6436,0.6957,0.7577,0.2737,0.2972,0.2221) T; gray correlation method is calculated by the model The correlation coefficient of the data obtained, the correlation degree of B= (0.6761,0.6012,0.8139,0.3972,0.4199,0.3831) T: principal component analysis model is to calculate the total score of the weighting coefficients to the characteristic value of the contribution rate, expression of comprehensive score is F=68.823F1+28.561F2, calculate the comprehensive score of each city were F= (71.2601, -22.9713113.4785, -58.3065, -35.4973 -67.9628, T.) level this paper analysis model is constructed by the expert judgment matrix, the consistency test, calculate the single ranking value, finally calculates the total order value of w= (0.2524,0.3023,0.2733,0.0638,0.0663,0.0418) T. then explores the evaluation method for the integration of pre and post test, it can be set so as to establish the evaluation model. The average value method, fuzzy Borda method, minimum deviation method, fitting the combination of these four models. The average method of single model A model of fractional transformation after ranking value of total ranking value of fuzzy Borda method in mean value model considering the factors scores calculated by fuzzy Borda scores FB= (2.8000,4.1333,0.0667,9.3333,7.0000,11.6667) T; minimum deviation model is the objective entropy weight method and the subjective level analysis method is used to optimize the model set, get the evaluation value X= (0.4611,0.5171,0.5104,0.1714,0.1814,0.1308) T; fitting model is a set of objective and subjective gray correlation method AHP, fitting evaluation value X= (0.6310,0.7437,0.6964,0.3848,0.3943,0.3664) T. the last single and combined evaluation model, the conclusion is: the establishment of subjective and objective combination model combining with the minimum deviation model and fitting model is more reasonable. Fujian Province, the six City in the innovation capacity ranking, Xiamen ranked first, Stephen In second, Fuzhou third, No. 456 were Putian, Sanming and Nanping. These are in good agreement with the development of the six city in 2011. The different characteristics of the six city economic development, the corresponding suggestions are also proposed to increase the Xiamen occupation technology education investment; Quanzhou is to increase the emerging Fuzhou Industrial Technology investment; to improve investment in science and technology system; Putian can rely on Tourism implement leap forward development; Sanming to food drives to cultivate technology and talent investment; Nanping should agriculture and economy, promote the development of science and technology and talent. Hope it will be for the leadership of Fujian province to make a decision for City development this paper provides some suggestions. According to different models, mainly by means of Matlab, SPSS, for Lingo software to realize the model, has higher accuracy.

【学位授予单位】：华中师范大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F124.3;F224

【共引文献】