| 一种基于蚁群优化的粗糙集属性约简方法 |
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| 引用本文： | 孙涛,蒋科艺,王永华,马力. 一种基于蚁群优化的粗糙集属性约简方法[J]. 海军航空工程学院学报, 2011, 26(1): 96-100 |
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| 作者姓名： | 孙涛 蒋科艺 王永华 马力 |
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| 作者单位： | 1. 海军航空工程学院飞行器工程系,山东,烟台,264001
2. 海军驻沈阳地区军事代表室,沈阳,110015 |
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| 摘 要： | 针对基于智能优化算法的属性约简方法存在的问题,在扩张矩阵概念的基础上,将属性约简问题转化为几何路径寻优问题,通过改进最大-最小蚂蚁系统(MMAS)算法,提出了一种基于蚁群优化的粗糙集属性约简方法,给出了相关参数的定义和详细算法流程,在UCI数据集上测试了该算法,结果表明了算法的有效性.
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| 关 键 词： | 蚁群优化 粗糙集 属性约简 |
Method of Attribution Reduction of Rough Set Theory Based on MMAS |
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| SUN Tao,JIANG Ke-yi,WANG Yong-hua and MA Li. Method of Attribution Reduction of Rough Set Theory Based on MMAS[J]. Journal of Naval Aeronautical Engineering Institute, 2011, 26(1): 96-100 |
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| Authors: | SUN Tao JIANG Ke-yi WANG Yong-hua MA Li |
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| Affiliation: | 1. Department of Airborne Vehicle Engineering, NAAU, Yantai Shandong 264001, China; 2. Military Representatives Office of Motor of Navy in Shenyang, Shenyang 110015, China) |
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| Abstract: | Aiming at problems of attribution reduction, on the basis of dilation matrix, the problem of reduction was translated into the geometrical optimization problem. The method of attribution reduction of rough set theory based on MMAS was put forward. Correlative parameters were defined and the algorithm flow was presented in this paper. Factors, which affected the algorithm efficiency, were analyzed. The test result proved the validity of the method. |
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| Keywords: | ACO rough set attribution reduction |
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