| 粗糙集与粒子群算法结合的属性离散化方法 |
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| 引用本文： | 沈中林,范敬德,樊玮. 粗糙集与粒子群算法结合的属性离散化方法[J]. 计算机工程与应用, 2009, 45(12): 129-130. DOI: 10.3778/j.issn.1002-8331.2009.12.042 |
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| 作者姓名： | 沈中林 范敬德 樊玮 |
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| 作者单位： | 中国民航大学,计算机学院,天津,300300;中国民航大学,计算机学院,天津,300300;中国民航大学,计算机学院,天津,300300 |
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| 基金项目： | 国家自然科学基金委员会与中国民用航空总局联合资助项目 |
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| 摘 要： | 提出了一种结合粗糙集和粒子群的连续属性离散化算法，采用了MPSO算法的思想，提高了粒子群摆脱局部极值的能力，得到了较好的离散化效果。对不同的数据集进行了多次测试，结果表明该算法在对数据离散化时有较好的性能。
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| 关 键 词： | 粒子群优化 粗糙集 离散化 |
| 收稿时间： | 2008-03-03 |
| 修稿时间： | 2008-6-2 |
Method of discretization of continuous attributes based on rough set and Particle Swarm Optimization |
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| SHEN Zhong-lin,FAN Jing-de,FAN Wei. Method of discretization of continuous attributes based on rough set and Particle Swarm Optimization[J]. Computer Engineering and Applications, 2009, 45(12): 129-130. DOI: 10.3778/j.issn.1002-8331.2009.12.042 |
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| Authors: | SHEN Zhong-lin FAN Jing-de FAN Wei |
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| Affiliation: | Software Technology Research Center，School of Computer，Civil Avitation University of China，Tianjin 300300，China |
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| Abstract: | This paper presents an algorithm for discretization based on rough set and particle swarm optimization.It mainly inducts a modified PSO (MPSO) and improves the ability to break away from the local optimum.Simultaneously,the algorithm obtains a satisfactory discretization result.Authors do many tests for different data sets and the experimental results prove that the algorithm has better validity for discretization of continuous attributes. |
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| Keywords: | Particle Swarm Optimization（PSO） rough set discretization |
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