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Studies On Nonuniform Evaluation And Discriminant Analysis Approaches Based On Data Envelopment Analysis

Posted on:2006-08-31Degree:MasterType:Thesis
Country:ChinaCandidate:N LiFull Text:PDF
GTID:2166360155452864Subject:Systems Engineering
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When China joined in WTO (World Trade Organization), every enterprise and department of our country will challenge to more intensity world contention. Only improving the capability of contention in the enterprises and departments can our country keeps in the advantage status of world. Both enterprise and department need adopt synthetic and overall systematic evaluation methods to obtain some theoretical conclusion as the next stage direction of work and production. In generally, synthetic evaluation methods are divided into quantitative and qualitative methods. Since the system of economy and society become more and more complication, the reliability on pure quantitative analysis conclusion become lower. We can obtain objective and overall conclusion when we integrate evaluation methods which is composed by quantitative and qualitative methods. So it will have more reality meaning to using integrated evaluation methods to assessment economy and society system in the background of global-content. The author of this paper participates in the project of Studies on non-uniform evaluation and Discriminate Analysis approaches based on DEA, which is authorized by the country natural science commission and consults a lot of academic documents about system evaluation method in china and abroad. The paper main introduces Data Envelopment Analysis method and draws some conclusion on the development of DEA Model study. Based on the opinion of System, we established three synthetic evaluation models in the aspect of uniform evaluation and non-uniform evaluation. At last, the paper added all of the reference documents. The paper is divided into seven chapters as follow: Chapter one, Introduction, discusses the background and meaning of the research. In this part, we also introduce the main content, technological route and methods. Chapter two, uniform system evaluation method —AHP, firstly introduces the theoretical system structure and methods of system integrated methods. The integrated models in this paper are structured in the opinion of system. Then, the uniform evaluation methods —AHP is discussed in this charpter. Integrated methods can be divided into uniform methods and non-uniform methods in the aspect of allocation weight. Chapter three, non-uniform system evaluation method, discusses the non-uniform evaluation methods of DA and DEA. The part of this paper summaries the development of DEA method research and detailed introduces three basic models of DEA method which are C2R model, C2GS2 model and C2WH model. Following, this part also introduces the DEA model with economic meaning which in the view of cost, revenue and profit efficiency. At last, this chapter summaries the types of efficiency and discusses the relationship of them.Being every evaluating model has itself characters, we can analysis different models and integrate them into a new model. Chapter four named as AHP/C2WH Model and Methodology Based on Definite Region. Using AHP method form a predilection cone of decision maker and incorporating above cone in C2WH model can reflect decision maker's predilection more objective and overall. It's very essential to build such AHP/C2WH model based on definite region. This paper also discusses this new model's DEA (AHP/C2WH) efficiency and its relative superior character comparing to other models. Chapter five, The Study of DEA-DA Model and Method, introduces threer models of integrating DEA and DA. (1) Region Planning Studies in view of DEA-DA Model and Method DEA-DA is a discriminant analysis method in view of Data Envelopment Analysis. This method not only gives a discriminant function, but also can successfully dispose the overlap of discriminiant analysis by incorporating added DEA model into DA formulation, which makes the DA method more flexibility. If the value of discriminant function equal to discriminate value, we can use discriminant analysis method to calculate, then we can obtain overall and objective conclusions. This model can successfully used in Region Planning. This paper also gives an example to show its application. (2) Study on DEA-DA Model Based on Preference Cone C2WH model, a cone ratio DEA model, can embody the evaluator's predilection in indexes and decision making unite (DMU) by using preference cone. Therefore, we can form a DEA-DA model based on preference cone by...
Keywords/Search Tags:Data Envelopment Analysis (DEA), AHP, Discriminant Analysis (DA), efficiency, L-R fuzzy number
PDF Full Text Request
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