| 基于Rough理论属性重要性的遗传计算方法 |
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| 引用本文： | 杨文元,叶小平,韦萍萍.基于Rough理论属性重要性的遗传计算方法[J].现代计算机,2006,3(8):4-7,12. |
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| 作者姓名： | 杨文元 叶小平 韦萍萍 |
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| 作者单位： | [1]漳州职业技术学院计算机工程系,漳州363000 [2]中山大学计算机科学系,广州510275 [3]贵州教育学院数学与计算机科学系,贵阳550003 |
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| 摘 要： | 遗传算法提供求解复杂系统优化问题的通用框架,Rough集理论的属性依赖度可以确定各属性对系统分类的重要性.本文通过一个信息表实例将遗传算法和Rough集理论结合起来以计算属性的重要性,两者结合能有效进行属性重要性的计算,并能进行计算机自动计算和信息处理.
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| 关 键 词： | 遗传算法 Rough集理论 属性重要性 信息表 |
| 收稿时间： | 2006-05-09 |
| 修稿时间： | 2006-05-09 |
Importance of Attributes Computed by Genetic Algorithms based on Rough Sets Theory |
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| YANG Wen-yuan,YE Xiao-ping,WEI Ping-ping.Importance of Attributes Computed by Genetic Algorithms based on Rough Sets Theory[J].Modem Computer,2006,3(8):4-7,12. |
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| Authors: | YANG Wen-yuan YE Xiao-ping WEI Ping-ping |
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| Affiliation: | 1. Department of Computer Engineering, Zhangzhou Institute of Technology, Zhangzhou 363000 China; 2. Department of Computer Science ,SUN Yat-sen University, Guangzhou 510275 China; 3. Department of Math and Computer Science, Guizhou Institute of Education, Guiyang 550003 China |
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| Abstract: | Genetic Algorithms provide a general frame to optionize problem solutions of complex systems. In Rough Sets Theory, the importance of every attribute to system classification can be determined by dependency of attributes. This paper combines Genetic Algorithms and Rough Sets Theory to compute importance of attributes by an example of information table, the combination enables us to compute importance of attributes effectively, it is also useful for computer auto-computing and information processing. |
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| Keywords: | Genetic Algorithms Pawlak Model Rough Sets Theory Importance of Attributes Information Table |
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