國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Uncertain data envelopment analysis

SpringerLink (Online service)

Uncertain data envelopment analysis

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Uncertain data envelopment analysisby Meilin Wen.
作者:	Wen, Meilin.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg :2015.
面頁冊數:	xi, 149 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Data envelopment analysis.
電子資源:	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:

214877
Data envelopment analysis.

LC Class. No.: HA31.38

Dewey Class. No.: 519.72

Uncertain data envelopment analysis
LDR:02012nmm a2200337 a 4500 001 459511
003 DE-He213
005 20150507165645.0
006 m d
007 cr nn 008maaau
008 151110s2015 gw s 0 eng d
020 $a 9783662438022 (electronic bk.)
020 $a 9783662438015 (paper)
024 7 $a 10.1007/978-3-662-43802-2 $2 doi
035 $a 978-3-662-43802-2
040 $a GP $c GP
041 0 $a eng
050 4 $a HA31.38
072 7 $a KJT $2 bicssc
072 7 $a KJMD $2 bicssc
072 7 $a BUS049000 $2 bisacsh
082 0 4 $a 519.72 $2 23
090 $a HA31.38 $b .W467 2015
100 1 $a Wen, Meilin. $3 710327
245 1 0 $a Uncertain data envelopment analysis $h [electronic resource] / $c by Meilin Wen.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2015.
300 $a xi, 149 p. : $b ill., digital ; $c 24 cm.
490 1 $a Uncertainty and operations research, $x 2195-996X
505 0 $a Uncertain Theories -- Introduction to DEA -- Stochastic DEA -- Fuzzy DEA -- Uncertain DEA -- Hybrid DEA.
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 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.
650 0 $a Data envelopment analysis. $3 214877
650 1 4 $a Economics/Management Science. $3 273684
650 2 4 $a Operation Research/Decision Theory. $3 585050
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Uncertainty and operations research. $3 710328
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-43802-2
950 $a Business and Economics (Springer-11643)