An SVM-based model for supplier selection using fuzzy and pairwise comparison
An SVM-based model for supplier selection using fuzzy and pairwise comparison
复制标题
使用模糊和成对比较的基于 SVM 的供应商选择模型
DOI：
10.1109/icmlc.2005.1527571
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Yao
中科院分区：
文献类型：
--
作者：
Hua;Jianying Xie;Yao
供应商选择是一个包含多种因素的多准则问题。为了选择最好的供应商，当其中一些因素发生冲突时，有必要在这些因素之间进行权衡，其中很少有现有系统能够正常工作。本文首先建立了基于支持向量机的供应商选择模型。提出了供应商选择的标准和模糊比较与两两比较的定量方法。仿真结果表明，所提出的供应商选择模型是一种比模糊综合评价更有效的供应商管理辅助工具。
Supplier selection is a multi-criteria problem including various factors. In order to select the best suppliers, it is necessary to make a trade off among these factors when some of them conflict, where few existing systems work well. In this paper a supplier selection model based on support vector machine (SVM) is firstly developed. The supplier selection criteria and quantitative methods using fuzzy and pairwise comparison are presented. Simulations show that the proposed supplier selection model is a more useful additional tool than fuzzy synthetical evaluation for supplier management.