| 基于粗集的空间对象分类学习算法 |
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| 引用本文： | 王儒敬,葛运健,滕明贵,张晓明.基于粗集的空间对象分类学习算法[J].中国科学技术大学学报,2006,36(2):163-169. |
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| 作者姓名： | 王儒敬 葛运健 滕明贵 张晓明 |
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| 作者单位： | 1. 中国科学技术大学自动化系,安徽合肥,230026;中国科学院合肥智能机械研究所,安徽合肥,230031
2. 中国科学院合肥智能机械研究所,安徽合肥,230031 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 针对二维空间对象分类问题,提出将粗集方法应用于分类规则的学习.首先建立空间分类信息表,然后采用粗集方法约简条件属性、提取分类规则,并采用多种指标对规则进行评价.通过实验结果分析,证明粗集方法能够有效用于学习空间对象分类规则.
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| 关 键 词： | 空间对象 粗集 分类规则 |
| 文章编号： | 0253-2778(2006)02-0163-07 |
| 收稿时间： | 06 13 2005 12:00AM |
| 修稿时间： | 09 23 2005 12:00AM |
Rough-set based algorithm on learning classification rules of spatial objects |
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| WANG Ru-jing,GE Yun-jian,TENG Ming-gui,ZHANG Xiao-ming.Rough-set based algorithm on learning classification rules of spatial objects[J].Journal of University of Science and Technology of China,2006,36(2):163-169. |
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| Authors: | WANG Ru-jing GE Yun-jian TENG Ming-gui ZHANG Xiao-ming |
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| Institution: | 1. Automation Department ,USTC , Hefei 230026, China ; 2. Institute of Intelligent Machines, CAS, Hefei 230031, China |
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| Abstract: | A method that uses rough set for the learning of classification rules about 2-dimensional spatial objects was presented. First, an information table of spatial classification was created. Then, rough set was used to reduce condition attributes and extract classification rules from the table. The extracted rules were evaluated according to several criteria. Experiments demonstrate that the method of rough set is efficient for learning classification rules of spatial objects. |
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| Keywords: | spatial object rough set classification learning |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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