| 基于支持向量机的商务智能系统综合评价研究* |
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| 引用本文： | 夏国恩,邵培基b.基于支持向量机的商务智能系统综合评价研究*[J].计算机应用研究,2009,26(5):1789-1791. |
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| 作者姓名： | 夏国恩 邵培基b |
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| 作者单位： | 1. 电子科技大学,博士后流动站,成都,610054
2. 电子科技大学,经济管理学院,成都,610054 |
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| 基金项目： | 中国博士后科学基金资助项目(20080431276 )；广西青年科学基金资助项目(桂科青0832102)；广西教育厅立项资助项目(200712LX290) |
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| 摘 要： | 在建立商务智能系统(BIS)综合评价指标体系的基础上，应用支持向量机，研究了BIS综合评价问题，通过仿真实验发现基于支持向量机(SVM)综合评价的测试排序与专家排序保持一致，且测试结果的相对误差较小。结果表明，基于支持向量机的综合评价方法能较好地反映BIS评价问题的序结构，是一种研究BIS综合排序评价问题的有效方法。
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| 关 键 词： | 商务智能系统 支持向量机 综合评价 指标体系 |
Synthetic evaluation method based on support vector machine for business intelligence system |
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| XIA Guo-en,SHAO Pei-jib.Synthetic evaluation method based on support vector machine for business intelligence system[J].Application Research of Computers,2009,26(5):1789-1791. |
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| Authors: | XIA Guo-en SHAO Pei-jib |
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| Affiliation: | (a.Postdoctoral Station, b.School of Management & Economic, University of Electronics Science & Technology of China, Chengdu 610054, China) |
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| Abstract: | This paper studied the synthetic evaluation of BIS by SVM based on building BIS evaluation index system.Pointed that the testing orders based SVM were consistent with those of experts, and the relative errors of the testing results based on SVM were very small by simulation testing. The results indicate that the method can accurately image order structure of BIS evaluation problems and can be an effective measurement for studying the ranking of BIS synthetic evaluation. |
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| Keywords: | business intelligence system(BIS) support vector machine(SVM) synthetic evaluation index system |
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