RT journal article
T1 On the fuzzy maximal covering location problem
A1 Arana Jiménez, Manuel
A1 Blanco, Víctor
A1 Fernández Areizaga, Elena
A2 Estadística e Investigación Operativa
K1 Location
K1 Maximal Covering
K1 Fuzzy Optimization
K1 Multiobjective Optimization
AB This paper studies the maximal covering location problem, assuming imprecise knowledge of all datainvolved. The considered problem is modeled from a fuzzy perspective producing suitable fuzzy Paretosolutions. Some properties of the fuzzy model are studied, which validate the equivalent mixed-binarylinear multiobjective formulation proposed. A solution algorithm is developed, based on the augmentedweighted Tchebycheff method, which produces solutions of guaranteed Pareto optimality. The effectiveness of the algorithm has been tested with a series of computational experiments, whose numerical results are presented and analyzed.
SN 0377-2217
YR 2020
FD 2020
LK http://hdl.handle.net/10498/38380
UL http://hdl.handle.net/10498/38380
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 08-nov-2026