On FDH efficiency analysis with interval data

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. (C) 2003 Elsevier Inc. All rights reserved.