本文關(guān)鍵詞：福建省主要城市自主創(chuàng)新投入能力的組合評價模型　出處：《華中師范大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 創(chuàng)新投入能力 單一評價模型 事前事后檢驗 組合評價模型 Matlab SPSS Lingo

【摘要】：在提倡建立自主創(chuàng)新國家的時代背景下,研究一個城市的創(chuàng)新能力,為領(lǐng)導(dǎo)城市的發(fā)展做出正確的決策具有一定的意義。創(chuàng)新能力包括許多方面,其中創(chuàng)新投入能力能夠充分體現(xiàn)出一個城市的經(jīng)濟發(fā)展情況以及城市領(lǐng)導(dǎo)者對創(chuàng)新能力的重視程度。而評價模型的目的是為了了解各個對象在各指標(biāo)上存在的差異,為決策者做出合理科學(xué)的政策提供一定的理論依據(jù)。本文主要研究2011年福建省福州、廈門、泉州、三明、莆田、南平這六個城市在科學(xué)技術(shù)支出、教育支出、普通高中教師人數(shù)、普通高中學(xué)生人數(shù)這四個指標(biāo)上的創(chuàng)新投入能力的評價模型,為福建省領(lǐng)導(dǎo)這六個城市的發(fā)展做出科學(xué)的政策提供一些建議。這篇文章主要有三個目的：(1)探索福建省這六個城市在創(chuàng)新投入能力上的排名情況；(2)進一步探究熵權(quán)法、灰度關(guān)聯(lián)法、主成份分析法、層次分析法這四個模型在評價福建省這六個城市的創(chuàng)新投入能力方面的的可用性；(3)通過組合評價模型的事前事后檢驗,探究出這六個城市在創(chuàng)新投入能力方面更合理的組合評價模型。本文首先建立了熵權(quán)法、灰度關(guān)聯(lián)法、主成份分析法、層次分析法這四種單一評價模型。熵權(quán)法模型是通過利用加權(quán)求和公式計算出樣本的評價值,得到這六個城市的評價值為U=(0.6436,0.6957,0.7577,0.2737,0.2972,0.2221)T；灰度關(guān)聯(lián)法模型則是通過計算出數(shù)據(jù)的關(guān)聯(lián)系數(shù), 得到關(guān)聯(lián)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貢獻率加權(quán)系數(shù)來計算總得分的,得到綜合得分的表達式為：F=68.823F1+28.561F2, 計算得到各城市的綜合得分分別為F=(71.2601,-22.9713,113.4785,-58.3065,-35.4973,-67.9628)T。本文中層次分析法模型則先由專家構(gòu)造出判斷矩陣,通過一致性檢驗后,計算出單排序值,最后計算出總排序值w=(0.2524,0.3023,0.2733,0.0638,0.0663,0.0418)T。其次探究了進行評價方法集成的事前事后檢驗,得出可以進行集合的評價模型,從而建立了平均值法、模糊Borda法、最小偏差法、擬合法這四個組合模型。平均值法模型是對單一模型的排序值進行分?jǐn)?shù)轉(zhuǎn)化后再進行總排序值模糊Borda法在平均值模型上考慮得分差異因素計算出模糊Borda分?jǐn)?shù)FB=(2.8000,4.1333,0.0667,9.3333,7.0000,11.6667)T；最小偏差法模型則是把客觀熵權(quán)法與主觀層次分析法進行集合得到的優(yōu)化模型,得到評價值X=(0.4611,0.5171,0.5104,0.1714,0.1814,0.1308)T；擬合法模型則是集合客觀灰度關(guān)聯(lián)法與主觀層次分析法 , 擬合得到評價值X=(0.6310,0.7437,0.6964,0.3848,0.3943,0.3664)T。最后綜合單一與組合評價模型,得到的結(jié)論是：建立主客觀相結(jié)合的組合模型——最小偏差模型與擬合模型的結(jié)果更合理。福建省這六個城市在創(chuàng)新投入能力的排序中,廈門位居第一、泉州第二、福州第三,第四五六名分別是莆田、三明及南平。這與2011年這六個城市發(fā)展情況大致吻合。文章針對這六個城市經(jīng)濟發(fā)展的不同特點,還提出相對應(yīng)的建議：廈門要加大對職業(yè)技術(shù)教育的投入；泉州則要加大對新興產(chǎn)業(yè)技術(shù)的投入；福州須完善對科技的投入體系；莆田可以靠旅游實行跨越式發(fā)展；三明要以食品帶動對科技與人才培養(yǎng)的投入;南平應(yīng)該以農(nóng)業(yè)促經(jīng)濟,帶動科技與人才的發(fā)展。希望這能夠為福建省的領(lǐng)導(dǎo)對城市發(fā)展做出決策時候提供一些參考意見。本文針對不同的模型,主要借助Matlab、SPSS、Lingo軟件來實現(xiàn)模型的求解,具有較高的精確度。
[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.

【學(xué)位授予單位】：華中師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：F124.3;F224

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