关于模糊最大覆盖定位问题
On the fuzzy maximal covering location problem
摘要：
本文研究了最大覆盖定位问题，假设所有涉及的数据是不精确的。所考虑的问题是从一个模糊的角度建模产生合适的模糊帕累托解决方案。研究了模糊模型的一些性质，验证了所提出的等价混合二元线性多目标模型。一个解决方案的算法开发，基于增广加权切比雪夫方法，它产生的解决方案，保证帕累托最优。通过一系列的数值实验验证了算法的有效性，并给出了数值结果和分析
英文摘要：
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
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