A note on the use of Choquet and Sugeno integrals in minimal and maximal covering location problems

A. Takaci, I. Štajner-Papuga, M. Marić, Darko Drakulic
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引用次数: 2

Abstract

The aim of this paper is to show a potential applicability of some well-known fuzzy integrals, i.e., of the Choquet integral and the Sugeno integral, in Minimal and Maximal Covering location problems, i.e., in MinCLP and MCLP. Possible benefits of the use of Choquet and Sugeno integrals lie in the flexibility of a monotone set function which is the core of the observed integrals and which is being used for modelling Decision Maker's behavior. Mathematical models of Minimal and Maximal Covering location problems are given. Approach based on fuzzy integrals versus the standard two types of operators is discussed. Ideas for the future work and applications are presented.
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关于在最小和最大覆盖定位问题中使用Choquet和Sugeno积分的注释
本文的目的是证明一些著名的模糊积分,即Choquet积分和Sugeno积分,在最小和最大覆盖定位问题,即MinCLP和MCLP中的潜在适用性。使用Choquet和Sugeno积分的可能好处在于单调集函数的灵活性,单调集函数是观察到的积分的核心,它被用于建模决策者的行为。给出了最小和最大覆盖定位问题的数学模型。讨论了基于模糊积分的方法与标准两类算子的关系。对未来的工作和应用进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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