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This paper proposes a new method to evaluate Decision Making Units (DMUs)under uncertainty using fuzzy Data Envelopment Analysis (DEA). In the proposedmulti-objective nonlinear programming methodology both the objective functionsand the constraints are considered fuzzy. The coefficients of the decisionvariables in the objective functions and in the constraints, as well as theDMUs under assessment are assumed to be fuzzy numbers with triangularmembership functions. A comparison between the current fuzzy DEA models and theproposed method is illustrated by a numerical example.

Evaluating decision making units under uncertainty using fuzzy multi-objective nonlinear programming