| 基于改进P-SVM方法的区域物流系统评价 |
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| 引用本文： | 闫莉,薛惠锋,郭雪松. 基于改进P-SVM方法的区域物流系统评价[J]. 计算机仿真, 2009, 26(8): 158-161,172 |
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| 作者姓名： | 闫莉 薛惠锋 郭雪松 |
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| 作者单位： | 西北工业大学自动化学院,陕西,西安,710072;西安交通大学行政管理学院,陕西,西安,710049 |
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| 基金项目： | 陕西省教育厅科研专项基金 |
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| 摘 要： | 现有区域物流系统的评价方法通常是通过构建固定指标体系,并根据专家意见确定指标权鼋的方式进行,难以反映指标间内在的复杂作用关系.为了实现物流的空间效益,进一步提高区域物流系统的评价效果,引入人工智能方法,并运用决策树技术对现有P-SVM方法进行改进,使其在保持可变指标体系与特征选取可同时进行的优势的前提下具备多类分类能力.首先在区域物流系统研究的基础上提出了区域物流系统发展水平评价指标体系,进而提出了改进的P-SVM方法的区域物流系统发展水平评价模型.数据仿真显示模型同标准支持向量机的多类分类模型相比不仅具有更好的推广能力,而且具备较好的特征变量自动选取功能.
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| 关 键 词： | 支持向量机 区域物流系统 评价 决策树 |
The Modified P-SVM for Regional Logistics System Evaluation |
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| YAN Li,XUE Hui-feng,GUO Xue-song. The Modified P-SVM for Regional Logistics System Evaluation[J]. Computer Simulation, 2009, 26(8): 158-161,172 |
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| Authors: | YAN Li XUE Hui-feng GUO Xue-song |
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| Affiliation: | 1.School of Automation;Northwestern Polytechnical University;Xi'an Shanxi 710072;China;2.School of Public Policy and Administration;Xi'an Jiaotong University;Xi'an Shanxi 710049;China |
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| Abstract: | To evaluate the regional logistics,the usual method is to make the model by fixation index and expert weightiness,which cannot show the complex relationship.The artificial intelligence method was applied to solve it.The decision tree was applied to the P-SVM method in order to improve the evaluation result,which keeps the original advantages and the class capacity at the same time.The index on evaluation of regional logistics system was put forward based on reference review firstly.Moreover,a modified appro... |
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| Keywords: | SVM Regional logistics system Evaluation Decision tree |
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