  In 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
