%0 Journal Article 
%A Arana Jiménez, Manuel
%A Sánchez Gil, María del Carmen
%A Lozano, Sebastián
%T Efficiency Assessment and Target Setting Using a Fully Fuzzy DEA Approach
%D 2020
%@ 1056–1072
%U http://hdl.handle.net/10498/25368
%X Data envelopment analysis (DEA) is a non-parametric methodology for efficiency assessment. This paper proposes a new radial, input-oriented and fully fuzzy DEA approach, based on an LU-fuzzy partial order (L for lower, U for upper), for assessing the relative efficiency of a set of Decision-Making Units (DMUs). The proposed approach involves a radial input contraction, Phase I, and an additive slacks maximization, Phase II. Each phase is first formulated as a fully fuzzy linear programming (FFLP), and then it is transformed into a multiobjective optimization problem. The latter is solved using the lexicographic weighted Tchebycheff method. The proposed fully fuzzy DEA approach provides, for each unit, a fuzzy efficiency measure and a fuzzy target operating point. A classification of the efficiency status of the units is also presented. Computational experiences and comparison with other fuzzy DEA approaches are reported.
%K Efficiency assessment
%K Fuzzy data
%K Fully fuzzy linear programming
%K Multiobjective optimization
%~ Universidad de Cádiz