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A Hybrid Decision Method for Multi-Resolution Model of Logistics Location

机译:一种用于物流定位的多分辨率模型的混合决策方法

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The paper presents a novel Multi-Resolution Model (MRM) of Logistics Location based on the theory of Multi-Resolution Modeling. Using MRM simulation thoughts, it points out the necessity of MRM of Logistics Location by analyzing the key technology of MRM. MRM utilizes Cost-Revenue model (C-R) based on Fuzzy Multiple Attribute Hierarchical Macro Location model (FMAHML) in macroscopic, mesoscopic and microscopic logistics location problem and prove it. Finally, the paper shows the computation process of MRM model in logistics location problem in detail with a hybrid decision algorithm, which combines Fuzzy Synthetic Evaluation method(FSE) with Maximum Coverage-Minimum Cost method(MC-MC). It conforms MRM has a high utility and convenience.
机译:本文基于多分辨率建模理论,提出了一种新型物流地区的多分辨率模型(MRM)。利用MRM仿真思想,通过分析MRM的关键技术,指出了物流地区MRM的必要性。 MRM利用基于模糊多属性分层宏观定位模型(FMAHML)的成本收入模型(C-R)在宏观,介观,微观物流位置问题中证明这一点。最后,用混合决策算法详细介绍了物流定位问题中MRM模型的计算过程,其将模糊综合评价方法(FSE)与最大覆盖率 - 最小成本法相结合(MC-MC)。它符合MRM具有高效用和便利性。

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