Paper Info
Title
An acceptance system decision rule with data envelopment analysis
Abstract
This paper further discusses the suggestion proposed by Troutt et al. [1] that data envelopment analysis (DEA) can be used to develop an acceptance boundary. It is shown that the linear programming model with an arbitrary objective function developed by Troutt et al. [1] can, in fact, be directly obtained from their assumptions. We develop a DEA-type linear programming model to determine not only whether a new case is accepted, but also the location of the new case with respect to the samples proviously classified. A numerical example is provided.
Year
DOI
Venue
1998
10.1016/S0305-0548(97)00075-0
Computers & OR
Keywords
DocType
Volume
acceptance system decision rule,data envelopment analysis
Journal
25
Issue
ISSN
Citations 
4
Computers and Operations Research
16
PageRank 
References 
Authors
2.49
1
2
Name
Order
Citations
PageRank
Lawrence M. Seiford155251.63
Joe Zhu21762167.31