A Fuzzy Additive Model with Some Non-discretionary Data

Considered as an influential technique for efficiency measurement, Data Envelopment Analysis has been promptly developed in numerous science branches. This has been claimed to stem from the fuzzy nature of problems as well as the presence of exogenously fixed factors. In fact, existence of imprecise data such as certain nondiscretionary factors in realistic circumstances would definitely necessitate advanced models which are potent of controlling such effects. To this end, a method of efficiencyanalysis has been introduced in the current study which aims at comparing the decision making units and presenting an appropriate benchmarking of them with fuzzy data and an uncontrollable input factor by employing additive model.

Keywords:

Data Envelopment Analysis , additive , fuzzy , non-discretionary