A generalized multiple layer data envelopment analysis model

Yongjun Shen; Elke Hermans; Da Ruan; Geert Wets; Koen Vanhoof; Tom Brijs; Özgür Kabak

A generalized multiple layer data envelopment analysis model

Yongjun Shen, Elke Hermans, Da Ruan, Geert Wets, Koen Vanhoof, Tom Brijs, Özgür Kabak

Research output › peer-review

Abstract

Data envelopment analysis (DEA) is recognized as a powerful analytical research tool for performance evaluations by obtaining empirical estimates of relations between multiple inputs and multiple outputs. In order to further embody the hierarchical structures of numerous performance evaluation problems in the DEA framework, a generalized multiple layer DEA (MLDEA) model is proposed, and its linear transformation is realized. Moreover, the weights within each category of each layer of the hierarchy are deduced, and different types of possible weight restrictions are discussed.

Original language	English
Title of host publication	Intelligent Decision Making Systems
Place of Publication	Singapore, Singapore
Pages	215-220
Volume	1
State	Published - Nov 2009
Event	The 4th Int. ISKE Conf. on Intelligent Decision Making Systems - Hasselt Duration: 27 Nov 2009 → 28 Nov 2009

Publication series

Name	Computer Engineering and Information Science
Number	2

Conference

Conference	The 4th Int. ISKE Conf. on Intelligent Decision Making Systems
Country/Territory	Belgium
City	Hasselt
Period	2009-11-27 → 2009-11-28

Cite this

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title = "A generalized multiple layer data envelopment analysis model",

abstract = "Data envelopment analysis (DEA) is recognized as a powerful analytical research tool for performance evaluations by obtaining empirical estimates of relations between multiple inputs and multiple outputs. In order to further embody the hierarchical structures of numerous performance evaluation problems in the DEA framework, a generalized multiple layer DEA (MLDEA) model is proposed, and its linear transformation is realized. Moreover, the weights within each category of each layer of the hierarchy are deduced, and different types of possible weight restrictions are discussed.",

keywords = "Data envelopment analysis (DEA), generalized multiple layer DEA",

author = "Yongjun Shen and Elke Hermans and Da Ruan and Geert Wets and Koen Vanhoof and Tom Brijs and {\"O}zg{\"u}r Kabak",

note = "Score = 3; The 4th Int. ISKE Conf. on Intelligent Decision Making Systems ; Conference date: 27-11-2009 Through 28-11-2009",

year = "2009",

month = nov,

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booktitle = "Intelligent Decision Making Systems",

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TY - GEN

T1 - A generalized multiple layer data envelopment analysis model

AU - Shen, Yongjun

AU - Hermans, Elke

AU - Ruan, Da

AU - Wets, Geert

AU - Vanhoof, Koen

AU - Brijs, Tom

A2 - Kabak, Özgür

N1 - Score = 3

PY - 2009/11

Y1 - 2009/11

N2 - Data envelopment analysis (DEA) is recognized as a powerful analytical research tool for performance evaluations by obtaining empirical estimates of relations between multiple inputs and multiple outputs. In order to further embody the hierarchical structures of numerous performance evaluation problems in the DEA framework, a generalized multiple layer DEA (MLDEA) model is proposed, and its linear transformation is realized. Moreover, the weights within each category of each layer of the hierarchy are deduced, and different types of possible weight restrictions are discussed.

AB - Data envelopment analysis (DEA) is recognized as a powerful analytical research tool for performance evaluations by obtaining empirical estimates of relations between multiple inputs and multiple outputs. In order to further embody the hierarchical structures of numerous performance evaluation problems in the DEA framework, a generalized multiple layer DEA (MLDEA) model is proposed, and its linear transformation is realized. Moreover, the weights within each category of each layer of the hierarchy are deduced, and different types of possible weight restrictions are discussed.

KW - Data envelopment analysis (DEA)

KW - generalized multiple layer DEA

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_101612

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_101612_2

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_101612_3

UR - http://knowledgecentre.sckcen.be/so2/bibref/6306

M3 - In-proceedings paper

SN - 978-981-4295-05-5

VL - 1

T3 - Computer Engineering and Information Science

SP - 215

EP - 220

BT - Intelligent Decision Making Systems

CY - Singapore, Singapore

T2 - The 4th Int. ISKE Conf. on Intelligent Decision Making Systems

Y2 - 27 November 2009 through 28 November 2009

ER -