【作者】 成建萍；

【导师】 熊国强；

【作者基本信息】 西安理工大学 ， 企业管理， 2005， 硕士

【摘要】 数据包络分析(DEA,Data Envelopment Analysis)是用于多输入、多输出问题评价的一种非参数方法,因其所具有的强客观性而在众多评价方法中独树一帜。然而,在实际应用中,DEA方法对权重没有任何限制,评价结果往往不能反映决策者的意愿或者偏好,因此,DEA模型中权重的赋值问题越来越受到人们的关注。本文正是从该角度出发,在群决策理论的基础上,构造出新的带有偏好约束的DEA模型,从而使评价结果更加符合实际。 论文分为五大部分。第一部分是对论文整体的概述,介绍了本文的研究背景、研究内容以及论文的主要创新点;第二部分是对DEA理论基础的介绍,主要介绍了DEA方法的基本原理和基本模型,并对DEA模型和理论的研究现状以及DEA方法的应用现状进行了综述;第三部分是对构造新的偏好约束DEA模型的理论研究。该部分首先指出偏好DEA模型是DEA理论研究的一个重要方向,然后对几种常见的偏好DEA模型以及DEAHP模型进行了研究,指出这些模型因偏好信息形式的单一而使应用范围受限。随后,本文构建了一种基于权重集成偏好约束的DEA模型,因其偏好信息形式不失一般性而显示出较强的适用性,论文同时指出,在实际评价中,偏好信息往往由多人给出,因此有必要对群决策中不同偏好信息的集成进行研究。接着,论文深入分析了四种常见偏好信息形式间的转化关系,并在此基础上对基于不同形式的群组偏好信息的集结进行了研究。最后,本文在对偏好DEA模型和群组偏好信息集结研究的基础上,构造出一种基于群决策的偏好DEA模型(G-DEA模型),并通过算例分析,证明了该模型能够使评价结果形成明确的优劣排序,克服了以往同为DEA有效的评价单元难以区西安理工大学硕士学位论文分优劣的缺点;第四部分是对G一DEA模型的实证分析。本文从西安高新区选取了12家中药制药企业作为评价单元,应用新模型对其技术创新能力进行了评价,并根据评价结果对企业技术创新能力的提升给出了相应的对策建议;第五部分总结,对本文所做的工作进行了回顾并阐明需进一步研究的问题。【关键词】DEA偏好群决策中药企业技术创新能力更多还原

【Abstract】 DEA (Data Envelopment Analysis) is a nonparametric method used for appraising multi-input and multi-output matters, and it is outstanding among numerous appraisal methods for its inherent objectivity. However, it hasn’t any restraints for weight in practical application, and can’t reflect the decision-maker’s will or preference. Therefore, how to restrain the weights is paid more and more attention to in DEA model. Under this situationn, this thesis constructs a new DEA model with preference restraint based on group decision throery, which makes the appraisal result agree to the fact much more.The thesis is divided into five parts. The first part outlines the thesis, introduces the background, contents and main innovative points. The second part recounts the basic DEA theories, includeing the basic principles and models, and summarize the research and application actuality of DEA models and theories. The third part studies the theories about how to constrct a new DEA model with preference restraint. Firstly, the thesis points out that the preference DEA model is an important direction in DEA theory, then several familiar preference DEA models and DEAHP model are studied, and it is advanced that the applications of these preference DEA models are confined for their simple preference information forms, and then an intergrating-weight preference DEA model with extensive applicability is put forward. The thesis also indicates that it is necessary to study how to intergrate different preference information forms in group decision. Afterward, this thesisanalyses the conversion relationship among four types of familiar preference information, on the basis of which the intergrating methods of group preference information are studied. Finally, a preferce DEA model based on group decision (G-DEA model) is constructed on the basis of above works, which can make appraisal result form clear order and solves out the problem that the appraisal units with same DEA efficiency are difficult to judge which one is better. The fourth part is the application of G-DEA model. The 12 pharmacy enterprises of traditional Chinese medicine are chosen from Xi’an high-tech industrial development zone as appraised units, and the new model, is used to appraise their technological innovation ability. Finally, the corresponding advices are given. The fifth part summarizes the thesis and clarifies the problems need to be studied further in the future.更多还原