本文選題：甘肅物流產(chǎn)業(yè) + 國民經(jīng)濟��； 參考：《蘭州財經(jīng)大學》2017年碩士論文

【摘要】：本文以協(xié)同學理論為基礎,對物流產(chǎn)業(yè)和國民經(jīng)濟的協(xié)同發(fā)展進行研究。主要從序參量的選取、協(xié)同發(fā)展水平測度、協(xié)同發(fā)展評價及協(xié)同發(fā)展決策這幾方面入手,設計了序參量選取算法、構(gòu)建了差分式協(xié)同水平測度(DSLM)模型和協(xié)同發(fā)展決策(SDD)模型。本論文主要的研究成果如下:1、設計了基于相關-主成分分析的序參量選取算法。在主成分分析的基礎上,引入相關分析,構(gòu)造出一種新的序參量選取算法:相關-主成分分析法。算法首先采用相關分析剔除冗余指標,然后使用主成分分析法選取對系統(tǒng)貢獻較高的指標,確保了序參量信息冗余度低,也保證了序參量最大程度的反映系統(tǒng)運行情況。2、建立了突出系統(tǒng)協(xié)同發(fā)展動態(tài)過程的DSLM模型。在原有協(xié)同水平測度模型的基礎上引入系統(tǒng)有序度一階后項差分的概念,考慮子系統(tǒng)有序度的變化速率及方向?qū)ο到y(tǒng)間協(xié)同發(fā)展的影響,該模型克服了原模型計算協(xié)同度時僅以當期的有序度水平來量化系統(tǒng)協(xié)同度的局限,更加突出系統(tǒng)協(xié)同發(fā)展的動態(tài)過程。3、構(gòu)建了能夠確定物流產(chǎn)業(yè)和國民經(jīng)濟未來發(fā)展決策值的SDD模型,以便于給出更具體的政策建議。該模型主要從協(xié)同發(fā)展的角度對未來物流產(chǎn)業(yè)和國民經(jīng)濟的發(fā)展提供決策依據(jù),解決了協(xié)同發(fā)展決策不明確的問題。模型將物流產(chǎn)業(yè)和國民經(jīng)濟協(xié)同發(fā)展的下一階段作為目標值,將系統(tǒng)序參量的具體發(fā)展要求作為動態(tài)約束條件,從而得到協(xié)同發(fā)展的非線性規(guī)劃模型,將模型求得的各個序參量最優(yōu)解結(jié)合協(xié)同演化階段模型得到的協(xié)同發(fā)展年限共同確定未來發(fā)展的決策值。文章以甘肅省作為研究對象,根據(jù)甘肅物流產(chǎn)業(yè)和國民經(jīng)濟2006-2015年的數(shù)據(jù)進行協(xié)同發(fā)展研究,得出以下結(jié)論:(1)相關-主成分分析算法選取了具有甘肅省發(fā)展特色的物流產(chǎn)業(yè)和國民經(jīng)濟的序參量,驗證了該算法在選取序參量時的客觀準確性;(2)基于DSLM模型對甘肅省近十年的協(xié)同發(fā)展水平進行了測度,通過和實際情況進行對比,驗證了DSLM模型相比于原模型更能反映系統(tǒng)的真實協(xié)同發(fā)展情況;(3)應用SDD模型對甘肅省物流產(chǎn)業(yè)和國民經(jīng)濟協(xié)同發(fā)展進行了決策研究,提出了有針對性的甘肅物流產(chǎn)業(yè)和國民經(jīng)濟的政策建議。
[Abstract]:Based on the theory of Synergetics, this paper studies the coordinated development of logistics industry and national economy. Starting with the selection of order parameters, the measurement of cooperative development level, the evaluation of cooperative development and the decision making of cooperative development, the algorithm of selecting order parameters is designed, and the differential collaborative level measure DSLM model and the SDD model of collaborative development decision are constructed. The main research results of this thesis are as follows: 1. An order parameter selection algorithm based on correlation-principal component analysis (PCA) is designed. On the basis of principal component analysis (PCA), a new order parameter selection algorithm, correlation principal component analysis (PCA), is constructed by introducing correlation analysis. The algorithm firstly uses correlation analysis to eliminate redundant indexes, and then uses principal component analysis to select indicators that contribute more to the system, so that the redundancy of order parameter information is low. It also ensures that the order parameters can reflect the system operation to the greatest extent, and establishes the DSLM model which highlights the dynamic process of the cooperative development of the system. Based on the original cooperative level measure model, the concept of the first order difference of the system order degree is introduced, and the influence of the change rate and direction of the order degree of the subsystem on the cooperative development among the systems is considered. This model overcomes the limitation that the coordination degree of the original model can only be quantified by the order degree level of the current period. The dynamic process of cooperative development of the system is more prominent. The SDD model which can determine the decision value of the logistics industry and the future development of the national economy is constructed in order to give more concrete policy suggestions. This model mainly provides the decision basis for the future logistics industry and the development of national economy from the angle of cooperative development, and solves the problem of unclear decision making of collaborative development. The model takes the next stage of the coordinated development of logistics industry and national economy as the target value, and takes the specific development requirements of the system order parameters as the dynamic constraint conditions, and obtains the nonlinear programming model of collaborative development. The optimal solution of each order parameter obtained by the model is combined with the cooperative development years obtained from the model of co-evolution stage to determine the decision value of the future development. Based on the data of Gansu logistics industry and national economy from 2006 to 2015, this paper takes Gansu Province as the research object. The following conclusions are drawn: (1) the correlation-principal component analysis (PCA) algorithm selects the order parameters of logistics industry and national economy with the characteristics of Gansu Province's development. The objective accuracy of the algorithm in selecting order parameters is verified. Based on the DSLM model, the cooperative development level of Gansu Province in the past ten years is measured and compared with the actual situation. It is verified that the DSLM model can reflect the real cooperative development of the system better than the original model. The SDD model is used to study the coordinated development of logistics industry and national economy in Gansu Province. The paper puts forward some policy suggestions on logistics industry and national economy in Gansu Province.
【學位授予單位】：蘭州財經(jīng)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：F259.27;F127

【參考文獻】

相關期刊論文 前10條

1 曾佑新;聶改改;;電子商務與快遞物流發(fā)展的協(xié)調(diào)度研究——基于距離協(xié)調(diào)度模型[J];江南大學學報(人文社會科學版);2016年04期

2 劉有升;陳篤彬;;基于復合系統(tǒng)協(xié)同度模型的跨境電商與現(xiàn)代物流協(xié)同評價分析[J];中國流通經(jīng)濟;2016年05期

3 張雪青;;“一帶一路”區(qū)域物流協(xié)同發(fā)展分析[J];統(tǒng)計與決策;2016年08期

4 王娟娟;;一帶一路經(jīng)濟區(qū)現(xiàn)代物流體系構(gòu)建[J];中國流通經(jīng)濟;2016年03期

5 魯繼通;;京津冀區(qū)域協(xié)同創(chuàng)新能力測度與評價——基于復合系統(tǒng)協(xié)同度模型[J];科技管理研究;2015年24期

6 周劍花;;基于隸屬度函數(shù)的產(chǎn)品多學科協(xié)同設計中滿意協(xié)商模型[J];南方農(nóng)機;2015年11期

7 謝守紅;蔡海亞;;長江三角洲物流業(yè)與區(qū)域經(jīng)濟耦合協(xié)調(diào)度研究[J];江西財經(jīng)大學學報;2015年05期

8 張良衛(wèi);;“一帶一路”戰(zhàn)略下的國際貿(mào)易與國際物流協(xié)同分析——以廣東省為例[J];財經(jīng)科學;2015年07期

9 張林;董千里;申亮;;節(jié)點城市物流產(chǎn)業(yè)與區(qū)域經(jīng)濟的協(xié)同發(fā)展研究——基于全國性物流節(jié)點城市面板數(shù)據(jù)[J];華東經(jīng)濟管理;2015年02期

10 金淑婷;李博;楊永春;石培基;盧紅;金建玲;張偉芳;;甘肅省人口、經(jīng)濟、社會協(xié)調(diào)發(fā)展狀態(tài)研究[J];資源與產(chǎn)業(yè);2015年01期

相關博士學位論文 前4條

1 朱榮艷;航運物流服務供應鏈協(xié)同優(yōu)化研究[D];武漢理工大學;2014年

2 趙莉;中國物流產(chǎn)業(yè)與區(qū)域經(jīng)濟協(xié)調(diào)發(fā)展研究[D];哈爾濱商業(yè)大學;2013年

3 楚巖楓;我國物流產(chǎn)業(yè)系統(tǒng)演化機理研究[D];南京航空航天大學;2010年

4 袁曉勐;城市系統(tǒng)的自組織理論研究[D];東北師范大學;2006年

相關碩士學位論文 前9條

1 盧珂;江蘇沿海港口物流協(xié)同機制研究[D];中國礦業(yè)大學;2015年

2 郭大龍;基于系統(tǒng)協(xié)調(diào)度的河北省三次產(chǎn)業(yè)協(xié)同發(fā)展研究[D];燕山大學;2015年

3 吳超;面向協(xié)同制造的工藝資源優(yōu)化配置技術研究[D];江蘇科技大學;2015年

4 孫戰(zhàn)旗;基于系統(tǒng)動力學的廈漳泉區(qū)域物流協(xié)同發(fā)展研究[D];集美大學;2015年

5 包文娟;供應鏈系統(tǒng)序參量識別研究[D];大連理工大學;2014年

6 趙文明;城市物流節(jié)點系統(tǒng)自組織演化研究[D];長安大學;2014年

7 陳威;基于歐氏距離協(xié)調(diào)度模型的黑龍江省區(qū)域人口與經(jīng)濟協(xié)調(diào)發(fā)展研究[D];東北林業(yè)大學;2014年

8 孫玲;協(xié)同學理論方法及應用研究[D];哈爾濱工程大學;2009年

9 程建潤;第三方物流企業(yè)的自組織研究[D];北京工業(yè)大學;2007年

，

本文編號：1783723