| 基于支持向量机的供应商评价模型 |
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| 引用本文： | 孙华丽,谢剑英,薛耀锋,杨煜普. 基于支持向量机的供应商评价模型[J]. 信息与控制, 2005, 34(2): 177-180 |
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| 作者姓名： | 孙华丽 谢剑英 薛耀锋 杨煜普 |
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| 作者单位： | 上海交通大学自动化系,上海,200030 |
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| 基金项目： | 国家自然科学基金资助项目(60174024) |
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| 摘 要： | 提出了利用支持向量机建立供应商评价系统的方法．给出了供应商评价指标体系及具体量化方法，采用支持向量机的1-v-1分类策略建立了供应商的评价模型．最后通过仿真实验证明了基于支持向量机的供应商评估系统的可行性和实用性．仿真表明，支持向量机在小样本情况下具有良好的非线性建模能力和泛化能力．
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| 关 键 词： | 供应商选择 评价指标 二元对比排序法 支持向量机 模型 |
| 文章编号： | 1002-0411(2005)02-0177-04 |
| 收稿时间： | 2004-07-22 |
Supplier Evaluation Model Based on Support Vector Machine |
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| SUN Hua-li,XIE Jian-ying,XUE Yao-feng,YANG Yu-pu. Supplier Evaluation Model Based on Support Vector Machine[J]. Information and Control, 2005, 34(2): 177-180 |
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| Authors: | SUN Hua-li XIE Jian-ying XUE Yao-feng YANG Yu-pu |
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| Abstract: | A supplier evaluation model based on support vector machine (SVM) is firstly presented. The supplier evaluation index system and the quantitative method are given. The supplier evaluation system based on one against one mode of support vector machine is built. A simulation is given to prove the feasibility and practicability of the presented model, and the simulation results show that the support vector machine is of good ability of nonlinear modeling and good generalization under small data set. |
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| Keywords: | supplier selection evaluation index dualistic contrast compositor support vector machine model |
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