On the fuzzy maximal covering location problem

Manuel Arana-Jiménez, Víctor Blanco and Elena Fernández

European Journal of Operational Research, 2020, vol. 283, issue 2, 692-705

Abstract: This paper studies the maximal covering location problem, assuming imprecise knowledge of all data involved. The considered problem is modeled from a fuzzy perspective producing suitable fuzzy Pareto solutions. Some properties of the fuzzy model are studied, which validate the equivalent mixed-binary linear multiobjective formulation proposed. A solution algorithm is developed, based on the augmented weighted 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.

Keywords: Location; Maximal Covering; Fuzzy Optimization; Multiobjective Optimization (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:283:y:2020:i:2:p:692-705

DOI: 10.1016/j.ejor.2019.11.036

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