Authors:
- The first book comprehensively introduces uncertain DEA
- A comprehensive coverage of models, sensitivity, ranking criteria and congestion in uncertain DEA
- The book is classified by measures rather than models
- Includes supplementary material: sn.pub/extras
Part of the book series: Uncertainty and Operations Research (UOR)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
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 and 5 provide two uncertain DEA methods to evaluate the DMUs with limited or insufficient statistical data, named fuzzy DEA and uncertain DEA. In order to evaluate the DMUs in which uncertainty and randomness appear simultaneously, the hybrid DEA based on chance theory is presented in Chapter 6.
Authors and Affiliations
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Science and Technology on Reliability and Environmental Engineering Laboratory, School of Reliability and Systems Engineering, Beihang University, Beijing, China
Meilin Wen
Bibliographic Information
Book Title: Uncertain Data Envelopment Analysis
Authors: Meilin Wen
Series Title: Uncertainty and Operations Research
DOI: https://doi.org/10.1007/978-3-662-43802-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2015
Hardcover ISBN: 978-3-662-43801-5Published: 07 August 2014
Softcover ISBN: 978-3-662-52581-4Published: 27 September 2016
eBook ISBN: 978-3-662-43802-2Published: 24 July 2014
Series ISSN: 2195-996X
Series E-ISSN: 2195-9978
Edition Number: 1
Number of Pages: XI, 149
Number of Illustrations: 4 b/w illustrations