Uncertain data envelopment analysis / Meilin Wen.

This book is intended to present the milestones in the progression of uncertain Data envelopment analysis (DEA). Chapter 1 gives some basic introduction to uncertain theories, including probability theory, credibility theory, uncertainty theory and chance theory. Chapter 2 presents a comprehensive r...

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Bibliographic Details
Online Access: Full Text (via Springer)
Main Author: Wen, Meilin (Author)
Format: eBook
Language:English
Published: Berlin : Springer, [2014]
Series:Uncertainty and operations research.
Subjects:

MARC

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245 1 0 |a Uncertain data envelopment analysis /  |c Meilin Wen. 
264 1 |a Berlin :  |b Springer,  |c [2014] 
264 4 |c ©2015. 
300 |a 1 online resource (xi, 149 pages) :  |b illustrations. 
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490 1 |a Uncertainty and Operations Research,  |x 2195-996X. 
504 |a Includes bibliographical references. 
505 0 |a Preface; Uncertain Theories; Introduction to DEA; Stochastic DEA; Fuzzy DEA; Uncertain DEA; Hybrid DEA; Purpose; Acknowledgment; Contents; 1 Uncertain Theories; 1.1 Probability Theory; 1.1.1 Probability Measure; 1.1.2 Random Variable; 1.1.3 Operational Law; 1.1.4 Expected Value; 1.2 Credibility Theory; 1.2.1 Credibility Measure; 1.2.2 Fuzzy Variable; 1.2.3 Expected Value; 1.3 Uncertainty Theory; 1.3.1 Uncertain Measure; 1.3.2 Uncertain Variable; 1.3.3 Operational Law; 1.3.4 Expected Value; 1.4 Chance Theory; 1.4.1 Uncertain Random Variable; 1.4.2 Uncertain Random Measure. 
505 8 |a 1.4.3 Operational Law1.4.4 Expected Value; References; 2 Introduction to DEA; 2.1 Symbols and Notations; 2.2 CCR Model; 2.3 BCC Model; 2.4 Additive Model; 2.5 SBM Model; 2.6 Russell Measure Model; References; 3 Stochastic DEA ; 3.1 Symbols and Notations; 3.2 Stochastic DEA Models; 3.2.1 Marginal Chance-Constrained Models; 3.2.2 Satisfying DEA Models; 3.3 Stochastic DEA Ranking Criteria; 3.3.1 Expected Ranking Criterion; 3.3.2 Optimistic Ranking Criterion; 3.3.3 Maximal Chance Ranking Criterion; 3.3.4 Hurwicz Ranking Criterion; References; 4 Fuzzy DEA ; 4.1 Symbols and Notations. 
505 8 |a 4.2 Fuzzy DEA Models4.3 Sensitivity and Stability; 4.4 Fuzzy DEA Ranking Criteria; 4.4.1 Expected Ranking Criterion; 4.4.2 Optimistic Ranking Criterion; 4.4.3 Maximal Chance Ranking Criterion; 4.4.4 Hurwicz Ranking Criterion; 4.4.5 Numerical Examples; 4.5 Fuzzy Congestion; 4.5.1 Congestion in DEA; 4.5.2 Fuzzy Congestion; 4.5.3 A Numerical Example; 4.6 Hybrid Intelligent Algorithm; 4.6.1 Fuzzy Simulations; 4.6.2 Genetic Algorithm; 4.6.3 Hybrid Intelligent Algorithm; References; 5 Uncertain DEA ; 5.1 Symbols and Notations; 5.2 Uncertain DEA Models; 5.3 Sensitivity and Stability. 
505 8 |a 5.4 Uncertain DEA Ranking Criteria5.4.1 Expected Ranking Criterion; 5.4.2 Optimistic Ranking Criterion; 5.4.3 Maximal Chance Ranking Criterion; 5.4.4 Hurwicz Ranking Criterion; 5.5 Uncertain Congestion; References; 6 Hybrid DEA ; 6.1 Symbols and Notations; 6.2 Hybrid DEA Models; 6.3 Hybrid DEA Ranking Criteria; 6.3.1 Expected Ranking Criterion; 6.3.2 Optimistic Ranking Criterion; 6.3.3 Maximal Chance Ranking Criterion; 6.3.4 Hurwicz Ranking Criterion; 6.4 Hybrid Congestion; References; List of Frequently Used Symbols. 
520 |a This book is intended to present the milestones in the progression of uncertain Data envelopment analysis (DEA). Chapter 1 gives some basic introduction to uncertain theories, including probability theory, credibility theory, uncertainty theory and chance theory. Chapter 2 presents a comprehensive review and discussion of basic DEA models. The stochastic DEA is introduced in Chapter 3, in which the inputs and outputs are assumed to be random variables. To obtain the probability distribution of a random variable, a lot of samples are needed to apply the statistics inference approach. Chapter 4. 
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