  The objective of this paper is to evaluate the performance of decision-making
units (DMUs) using a hybrid fuzzy multi-objective (FMO) data envelopment
analysis (DEA) approach. This study develops fuzzy multi-objective optimistic
(FMOO) and pessimistic (FMOP) DEA models for performance evaluation of DMUs. To
rank the DMUs, a ranking approach is used that can simultaneously integrate
optimistic and pessimistic efficiencies. A comparison of the proposed approach
with the existing approach is made with the help of an example. Finally, a
real-life application of developed fuzzy optimistic and pessimistic DEA models
in the education sector is presented.
