| 用粗化算法训练战损规则 |
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| 引用本文： | 张仕念,刘雪峰,李新俊,齐俊臣,彭道勇. 用粗化算法训练战损规则[J]. 微计算机应用, 2007, 28(9): 954-956 |
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| 作者姓名： | 张仕念 刘雪峰 李新俊 齐俊臣 彭道勇 |
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| 作者单位： | 第二炮兵装备研究院,北京,100085 |
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| 摘 要： | 用粗化算法试探性地降低信息系统中的信息粒度，使属性值所代表的数值范围更加合理，平衡其在训练集和测试集上的分类能力，训练决策规则。对比按条件属性不同顺序对战损规则训练的结果，根据工程实践，从中选择一个更为合理的作为最终的战损决策规则。
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| 关 键 词： | 粗集 信息系统 战损 决策规则 |
| 修稿时间： | 2006-05-25 |
Training Battle Damage Rules by Rough Algorithm |
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| HANG Shinian,LIU Xuefeng,LI Xinjun,QI Junchen,PENG Daoyong. Training Battle Damage Rules by Rough Algorithm[J]. Microcomputer Applications, 2007, 28(9): 954-956 |
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| Authors: | HANG Shinian LIU Xuefeng LI Xinjun QI Junchen PENG Daoyong |
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| Affiliation: | The Equipment Research Institute of PLA Second Artillery, Beijing 100085 |
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| Abstract: | In order to balance the rules' capability of classifying in prediction set against training set , decision rules are trained by rough algorithm to reducing granulation of attribute in information system , so as to each attributes' value represents reasonable range. According to engineering practice, the reasonable one is selected from results which was trained by rough algorithm in different order as finally battle damage rules. |
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| Keywords: | rough set information system battle damage decision rule |
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