Paper Info
Title
A data envelopment analysis method with assurance region for weight generation in the analytic hierarchy process
Abstract
Data envelopment analysis (DEA) has been combined with the analytic hierarchy process (AHP) to form a DEAHP for weight derivation and aggregation in the AHP. This paper proposes a DEA model with assurance region (AR) for priority derivation in the AHP, which is referred to as the DEA/AR model. This new DEA model can overcome the shortcomings of the DEAHP such as illogical local weights, over insensitivity to some comparisons, information loss, and overestimation of some local weights, and provide better priority estimate and better decision conclusions than the DEAHP. Numerical examples including a real application of the AHP to the recruitment of a research fellow for a research project are provided to show the advantages of the DEA/AR model and its potential applications in multiple criteria decision analysis (MCDA).
Year
DOI
Venue
2008
10.1016/j.dss.2008.03.002
Decision Support Systems
Keywords
Field
DocType
weight generation,data envelopment analysis,deahp,personal recruitment,illogical local weight,dea model,data envelopment analysis method,assurance region,priority derivation,new dea model,analytic hierarchy process,local weight,better decision conclusion,multiple criteria decision analysis,better priority estimate,ar model,data envelope analysis
Autoregressive model,Information loss,Multiple-criteria decision analysis,Computer science,Regression analysis,Decision support system,Operations research,Multicriteria analysis,Data envelopment analysis,Analytic hierarchy process
Journal
Volume
Issue
ISSN
45
4
Decision Support Systems
Citations 
PageRank 
References 
15
0.88
10
Authors
3
Name
Order
Citations
PageRank
Ying-Ming Wang13256166.96
Kwai-Sang Chin2103354.69
Gary Ka Kwai Poon32099.05