發(fā)布時間：2018-09-07 18:23

【摘要】：隨著供應(yīng)鏈的不斷發(fā)展,供應(yīng)鏈企業(yè)間信息共享變得越來越重要,良好的信息共享能夠有效減弱“牛鞭效應(yīng)”影響,提升供應(yīng)鏈整體效能。然而當(dāng)下缺少合理、客觀的信息共享綜合評價模型,這使得供應(yīng)鏈信息共享程度難以確定。因此需要探討能夠合理、準(zhǔn)確的對供應(yīng)鏈信息共享程度進(jìn)行評價的方法。本文對常用的評價方法進(jìn)行分析發(fā)現(xiàn):粗糙集和模糊集都具備解決不確定信息的能力。模糊集是對知識描述的含糊性進(jìn)行處理,利用隸屬函數(shù)來表述信息的不確定,通過對事物的模糊刻畫來真實的反應(yīng)事物的本質(zhì);而粗糙集則對對象集中的不可分辨關(guān)系進(jìn)行研究,利用上下近似集合關(guān)系來處理信息的不確定性。粗糙集的優(yōu)勢在于不需要與數(shù)據(jù)無關(guān)的額外信息,能通過對數(shù)據(jù)本身進(jìn)行處理發(fā)掘數(shù)據(jù)間關(guān)系。但粗糙集也有其局限性:單一使用粗糙集并不能有效的處理現(xiàn)實中的信息不確定性問題。因此本文將模糊集和粗糙集相結(jié)合并應(yīng)用于供應(yīng)鏈信息共享評價中,主要的研究內(nèi)容和成果如下:首先,對國內(nèi)外供應(yīng)鏈信息共享有關(guān)研究成果進(jìn)行梳理和分析,給出文章整體思路和研究框架,并介紹和分析了供應(yīng)鏈信息共享的內(nèi)涵。從影響供應(yīng)鏈信息共享的因素為切入點,構(gòu)建一套新的評價指標(biāo),為供應(yīng)鏈信息共享評價奠定良好的理論基礎(chǔ)。其次,為了更加細(xì)膩刻畫屬性模糊性和評價者猶豫性,在直覺模糊集和猶豫模糊集基礎(chǔ)上提出了三角模糊數(shù)猶豫直覺模糊集,同時提出了三角模糊數(shù)猶豫直覺模糊集的運(yùn)算法則、集成算子、得分函數(shù)、精確函數(shù)等。本文提出的三角模糊數(shù)猶豫直覺模糊集能夠?qū)崿F(xiàn)指標(biāo)的細(xì)膩、多維的刻畫,更加符合客觀事實和人腦思維。再次,為了更加客觀求解評價指標(biāo)權(quán)重,本文在粗糙集正區(qū)域數(shù)量度量和條件信息熵屬性度量基礎(chǔ)上提出了混合權(quán)重粗糙集模型。并提出了基于模糊刻畫和混合權(quán)重粗糙集的供應(yīng)鏈信息共享綜合評價模型,該模型以三角模糊數(shù)猶豫直覺模糊集為原始數(shù)據(jù),通過混合權(quán)重粗糙集模型求解,得到評價指標(biāo)的客觀權(quán)重,最后經(jīng)三角模糊數(shù)猶豫直覺模糊集的集成算子求得綜合評價值,實現(xiàn)供應(yīng)鏈信息共享評價。最后,論文對15個供應(yīng)鏈企業(yè)進(jìn)行實證研究。通過問卷調(diào)查獲取原始的三角模糊數(shù)猶豫直覺模糊集型評測數(shù)據(jù),借助本文提出的基于模糊刻畫和混合權(quán)重粗糙集的供應(yīng)鏈信息共享綜合評價方法,并給出詳細(xì)實證分析過程,證明了本文所提出的評價方法的合理性和有效性。文末,依據(jù)實證結(jié)果,提出相應(yīng)的供應(yīng)鏈信息共享程度提升策略。
[Abstract]:With the continuous development of supply chain, information sharing among supply chain enterprises becomes more and more important. Good information sharing can effectively weaken the "bullwhip effect" and improve the overall efficiency of supply chain. However, when there is a lack of reasonable and objective comprehensive evaluation model of information sharing, it is difficult to determine the degree of information sharing in supply chain. Therefore, it is necessary to explore a reasonable and accurate method to evaluate the degree of information sharing in supply chain. Based on the analysis of common evaluation methods, it is found that both rough set and fuzzy set have the ability to solve uncertain information. Fuzzy sets deal with the ambiguity of knowledge description, use membership function to express the uncertainty of information, and reflect the essence of things by fuzzy description of things. Rough set is used to study the indiscernibility relation of object set, and the upper and lower approximation set relation is used to deal with the uncertainty of information. The advantage of rough set is that it does not need additional information independent of data, and it can explore the relationship between data by processing the data itself. But rough set also has its limitation: using rough set alone can not deal with the problem of information uncertainty in reality effectively. Therefore, this paper combines fuzzy sets and rough sets and applies them to the evaluation of supply chain information sharing. The main research contents and results are as follows: firstly, the research results of supply chain information sharing at home and abroad are combed and analyzed. The whole idea and research frame of this paper are given, and the connotation of supply chain information sharing is introduced and analyzed. From the point of view of the factors affecting information sharing in supply chain, a new set of evaluation indexes is constructed, which lays a good theoretical foundation for the evaluation of information sharing in supply chain. Secondly, in order to characterize attribute fuzziness and evaluator's hesitancy, a triangular fuzzy number hesitant intuitionistic fuzzy set is proposed on the basis of intuitionistic fuzzy set and hesitant fuzzy set. At the same time, the algorithm, integration operator, score function and exact function of trigonometric fuzzy number hesitant intuitionistic fuzzy set are proposed. The triangular fuzzy number hesitant intuitionistic fuzzy set proposed in this paper can achieve the delicate and multidimensional characterization of the index, which is more in line with the objective facts and the human brain thinking. Thirdly, in order to solve the evaluation index weight more objectively, this paper proposes a mixed weight rough set model based on the rough set positive region quantity measurement and conditional information entropy attribute measurement. A comprehensive evaluation model of supply chain information sharing based on fuzzy characterization and mixed weight rough set is proposed. The model takes triangular fuzzy number hesitant intuitionistic fuzzy set as raw data and is solved by mixed weight rough set model. The objective weight of the evaluation index is obtained. Finally, the comprehensive evaluation value is obtained by the integration operator of triangular fuzzy number hesitant intuitionistic fuzzy set, and the information sharing evaluation of supply chain is realized. Finally, the paper carries on the empirical research to the 15 supply chain enterprises. The original evaluation data of triangular fuzzy number hesitant intuitionistic fuzzy set are obtained by questionnaire survey. The comprehensive evaluation method of supply chain information sharing based on fuzzy description and mixed weight rough set is proposed in this paper, and the detailed empirical analysis process is given. The rationality and validity of the evaluation method proposed in this paper are proved. Finally, according to the empirical results, the paper puts forward the corresponding strategies to enhance the degree of information sharing in supply chain.
【學(xué)位授予單位】：湘潭大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：F274

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本文編號：2229060