Name
Abstract | ||
|---|---|---|
Most of DEA models make an assumption that input and output data are exact without any variation. Cooper et al. [Manage. Sci. 45 (1999) 597] introduced imprecise data envelopment analysis (IDEA). When some inputs and outputs are unknown decision variables such as bounded data, ordinal data, and ratio bounded data, the DEA model becomes a non-linear programming problem. In this paper we consider FDH model with imprecise data, first we introduce linear form of FDH model [J. Product. Anal. 16 (2001) 129] then according to [Eur. J. Oper. Res. 140 (2002) 24] we follow efficiency analysis. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/j.amc.2003.08.127 | Applied Mathematics and Computation |
Keywords | Field | DocType |
fdh model,interval data,data envelopment analysis,ordinal data,data envelope analysis,non linear programming | Mathematical optimization,Linear model,Nonlinear programming,Ordinal data,Input/output,Data envelopment analysis,Linear programming,Interval arithmetic,Mathematics,Bounded function | Journal |
Volume | Issue | ISSN |
159 | 1 | Applied Mathematics and Computation |
Citations | PageRank | References |
10 | 0.79 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| G R Jahanshahloo | 1 | 876 | 69.10 |
| R.Kazemi Matin | 2 | 63 | 9.39 |
| A.Hadi Vencheh | 3 | 64 | 6.95 |