RT journal article
T1 Efficiency Assessment and Target Setting Using a Fully Fuzzy DEA Approach
A1 Arana Jiménez, Manuel
A1 Sánchez Gil, María del Carmen
A1 Lozano, Sebastián
A2 Estadística e Investigación Operativa
K1 Efficiency assessment
K1 Fuzzy data
K1 Fully fuzzy linear programming
K1 Multiobjective optimization
AB 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.
SN 1056–1072
YR 2020
FD 2020-06-10
LK http://hdl.handle.net/10498/25368
UL http://hdl.handle.net/10498/25368
LA eng
NO 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.
DS Repositorio Institucional de la Universidad de Cádiz
RD 11-nov-2026