On the fuzzy maximal covering location problem Arana, Manuel Blanco, Víctor Fernández, Elena Location Maximal Covering Fuzzy Optimization Multiobjective Optimization 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. 2024-01-22T08:35:40Z 2024-01-22T08:35:40Z 2020-06 journal article European Journal of Operational Research 283(2), 692-705 https://hdl.handle.net/10481/87033 https://doi.org/10.1016/j.ejor.2019.11.036 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional North-Holland