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首页> 外文期刊>International journal of operations research and information systems >Revised Weighted Fuzzy C-Means and Fortified Weiszfeld Hybrid Method for Uncapacitated Multi-Facility Location Problems
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Revised Weighted Fuzzy C-Means and Fortified Weiszfeld Hybrid Method for Uncapacitated Multi-Facility Location Problems

机译:修改了加权模糊C型方式和强化WEISZFELD混合方法,用于未列为多设施的多设施位置问题

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摘要

In this article, a hybrid method is proposed to solve the uncapacitated planar multi-facility location problems. The new hybrid method consists of a combination of the Revised Weighted Fuzzy C-Means (RWFCM) algorithm proposed by Esnaf and Kuecuekdeniz (2013) and the Fortified Weiszfeld algorithm developed by Drezner (2015). The cluster centers and the cluster assignments of the RWFCM are fed into the Fortified Weiszfeld Algorithm separately for each cluster and facility-customer allocations are determined. The proposed approach is benchmarked on sample datasets from the facility location literature. Results of the proposed hybrid method show that the newly proposed sequentially-run method achieves better results when compared against the benchmark methods. This paper is a pioneer study of the hybrid use of Revised Weighted Fuzzy C-Means and Fortified Weiszfeld algorithms.
机译:在本文中,提出了一种混合方法来解决未加权的平面的平面多设施位置问题。新的混合方法包括ESNAF和KueCuekdeniz(2013)提出的修订的加权模糊C型(RWFCM)算法以及DREZNER开发的强化WEISZFELD算法(2015)。群集中心和RWFCM的群集分配分别为每个群集分开进入强化WEISZFELD算法,并且确定了设施 - 客户分配。所提出的方法在设施位置文献中的样本数据集上基准测试。所提出的混合方法的结果表明,与基准方法相比,新提出的序列运行方法达到了更好的结果。本文是对修复加权模糊C-Meancy和强化Weiszfeld算法的混合使用的先驱研究。

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