| 基于一种改进相似度的扩展粗糙集模型 |
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| 引用本文： | 王金山,王磊.基于一种改进相似度的扩展粗糙集模型[J].徐州师范大学学报(自然科学版),2012(1):41-44. |
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| 作者姓名： | 王金山 王磊 |
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| 作者单位： | 解放军陆军军官学院数学教研室 |
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| 基金项目： | 总装陆装科订部科研基金资助项目(011027) |
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| 摘 要： | 应用经典粗糙集理论处理连续值属性决策表问题时,对连续值属性进行离散化会造成信息损失.本文在分析已有相似度不足的基础上提出一种改进的相似度,建立基于改进相似度的扩展粗糙集模型,并提出一种基于重要度的约简算法.
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| 关 键 词： | 连续值属性决策表 扩展粗糙集模型 相似度 属性约简 重要度 |
An extended rough set model based on an improved similarity |
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| Wang Jinshan,Wang Lei.An extended rough set model based on an improved similarity[J].Journal of Xuzhou Normal University(Natural Science Edition),2012(1):41-44. |
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| Authors: | Wang Jinshan Wang Lei |
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| Institution: | (Mathematic Teaching & Researching Section,Artillery Academy of PLA,Hefei 230031,Anhui,China) |
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| Abstract: | When classical rough set theory is used to deal with the continuous valued attribute decision table,the continuous valued attribute discretization will result in loss of information.For this,an improved similarity is put forward based on analysis of the previous similarity,followed by an extended rough set model is established,and a reduction algorithm is designed based on the significant degree. |
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| Keywords: | continuous valued attribute decision table extended rough set model similarity indicator reduction significant degree |
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