Title
On return to scale of fully efficient DMUs in data envelopment analysis under interval data
Abstract
Recently Cooper et al. [Manage. Sci. 45 (1999) 597] proposed imprecise data envelopment analysis (IDEA). A situation in which some or all data are unknown. The data in IDEA could be interval data, ordinal data or data with bounded ratio. Usually in such cases the corresponding data envelopment analysis models becomes non-linear. When data assume to be interval, decision making units (DMUs) can divide to three classes as follows: (i) efficient in any cases (ii) efficient in maximal sense (iii) always inefficient. In this paper we investigate to the return to scale of DMUs that are locate in first class. Also we introduce models that use exact data and present a combination (if any) which via that the DMU becomes a most productive scale size.
Year
DOI
Venue
2004
10.1016/S0096-3003(03)00687-8
Applied Mathematics and Computation
Keywords
Field
DocType
interval data,data envelopment analysis,mpss,rts,ordinal data,returns to scale,data envelope analysis
Mathematical optimization,Ordinal data,First class,Non linear model,Data envelopment analysis,Interval arithmetic,Interval data,Mathematics,Returns to scale,Bounded function
Journal
Volume
Issue
ISSN
154
1
Applied Mathematics and Computation
Citations 
PageRank 
References 
6
0.64
5
Authors
3
Name
Order
Citations
PageRank
G R Jahanshahloo187669.10
R.Kazemi Matin2639.39
A.Hadi Vencheh3646.95