| 一种有效的供应链绩效预测方法及其应用 |
| |
| 引用本文： | 陈冬冬.一种有效的供应链绩效预测方法及其应用[J].计算机工程与应用,2010,46(21):235-237. |
| |
| 作者姓名： | 陈冬冬 |
| |
| 作者单位： | 四川农业大学,经济管理学院,四川,雅安,625014 |
| |
| 摘 要： | 从知识发现和数据挖掘的角度，利用粗糙集和支持向量回归机的理论和方法，建立了基于粗糙集和支持向量回归机相结合的供应链绩效预测模型。结合一个供应链绩效预测实例，首先对其基于平衡记分卡的指标体系进行了约简，然后将约简的评价指标输入到支持向量回归机中进行训练，构建预测模型，最后把预测的样本输入到模型中进行供应链绩效预测，预测结果与实际结果基本吻合。
|
| 关 键 词： | 粗糙集 支持向量回归机 供应链 绩效预测 |
| 收稿时间： | 2009-1-9 |
| 修稿时间： | 2009-2-24
|
Effective supply chain performance prediction method and its application |
| |
| CHEN Dong-dong.Effective supply chain performance prediction method and its application[J].Computer Engineering and Applications,2010,46(21):235-237. |
| |
| Authors: | CHEN Dong-dong |
| |
| Affiliation: | CHEN Dong-dong (Economic Management College,Sichuan Agricultural University,Ya＇an,Sichuan 625014,China ) |
| |
| Abstract: | This paper sets up a supply chain performance prediction model based on rough sets and Support Vector Regression machine（SVR） from knowledge discovery and data mining perspective.According to a supply chain performance prediction example,firstly its index based on the balanced scorecard system is reduced,and then the reduction index is input to SVR for training.Finally,the forecast sample is input to the model and supply chain performance predictive value is got.The forecast result is matched with the actual result. |
| |
| Keywords: | rough sets Support Vector Regression machine（SVR） supply chain performance prediction |
| 本文献已被 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机工程与应用》浏览原始摘要信息 |
|
点击此处可从《计算机工程与应用》下载全文 |
