RT journal article
T1 Efficiency assessment using fuzzy production possibility set and enhanced Russell Graphmeasure
A1 Arana Jiménez, Manuel
A1 Sánchez Gil, María del Carmen
A1 Lozano, Sebastián
A1 Younesi, Atefeh
A2 Estadística e Investigación Operativa
K1 Efficiency
K1 Fuzzy data
K1 Fuzzy production possibility set
K1 Fuzzy enhanced Russell graph measure
K1 Fuzzy efficient targets
AB This paper studies the efficiency assessment of Decision Making Units (DMUs) when their inputs and outputs are fuzzy sets. An axiomatic derivation of the fuzzy production possibility set is presented and a fuzzy enhanced Russell graph measure is formulated using a fuzzy arithmetic approach. The proposed approach uses polygonal fuzzy sets and LU-fuzzy partial orders, and provides crisp efficiency measures (and associated efficiency ranking) as well as fuzzy efficient targets. The proposed approach has been compared with other fuzzy DEA approaches on different datasets from the literature, and the results show that it has more discriminant power and more flexibility in modelling the input and output data.
PB SPRINGER HEIDELBERG
SN 2238-3603
YR 2022
FD 2022-03
LK http://hdl.handle.net/10498/26425
UL http://hdl.handle.net/10498/26425
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 Consejeria de Educacion y Ciencia (Junta de Andalucia) 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 10-may-2026