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Uncertain data envelopment analysis
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SpringerLink (Online service)
Uncertain data envelopment analysis
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Uncertain data envelopment analysis/ by Meilin Wen.
Author:
Wen, Meilin.
Published:
Berlin, Heidelberg :Springer Berlin Heidelberg : : 2015.,
Description:
xi, 149 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Data envelopment analysis. -
Online resource:
http://dx.doi.org/10.1007/978-3-662-43802-2
ISBN:
9783662438022 (electronic bk.)
Uncertain data envelopment analysis
Wen, Meilin.
Uncertain data envelopment analysis
[electronic resource] /by Meilin Wen. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xi, 149 p. :ill., digital ;24 cm. - Uncertainty and operations research,2195-996X. - Uncertainty and operations research..
Uncertain Theories -- Introduction to DEA -- Stochastic DEA -- Fuzzy DEA -- Uncertain DEA -- Hybrid DEA.
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.
ISBN: 9783662438022 (electronic bk.)
Standard No.: 10.1007/978-3-662-43802-2doiSubjects--Topical Terms:
561560
Data envelopment analysis.
LC Class. No.: HA31.38
Dewey Class. No.: 519.72
Uncertain data envelopment analysis
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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.
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