@misc{10498/25368,
year = {2020},
month = {6},
url = {http://hdl.handle.net/10498/25368},
abstract = {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.},
organization = {The first author was partially supported by the research project MTM2017-89577-P (MINECO, Spain). The second author was partially supported by Spanish Ministry of Economy and Competitiveness through grants AYA2016-75931-C2-1-P, and from the Consejería de Educación y Ciencia (Junta de Andalucía) through TIC-101. The third author acknowledges the financial support of the Spanish Ministry of Science, Innovation and Universities, grant PGC2018-095786-B-I00.},
keywords = {Efficiency assessment},
keywords = {Fuzzy data},
keywords = {Fully fuzzy linear programming},
keywords = {Multiobjective optimization},
title = {Efficiency Assessment and Target Setting Using a Fully Fuzzy DEA Approach},
doi = {10.1007/s40815-020-00821-0},
author = {Arana Jiménez, Manuel and Sánchez Gil, María del Carmen and Lozano, Sebastián},
}