| 基于统计与联系度的粗糙集模型及其应用 |
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| 引用本文： | 刘高峰,奉陪.基于统计与联系度的粗糙集模型及其应用[J].内江师范学院学报,2008,23(12). |
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| 作者姓名： | 刘高峰 奉陪 |
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| 作者单位： | 1. 四川省高等学校数值仿真重点实验室,四川,内江,641112;内江师范学院数学与信息科学学院,四川,内江,641112
2. 内江师范学院数学与信息科学学院,四川,内江,641112 |
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| 基金项目： | 四川省教育厅青年基金
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| 摘 要： | 针对连续性和不完整的数据集没有属性约简理论的问题,结合统计的聚类分析方法和集对分析的联系度,提出了一种基于统计和联系度的粗糙集模型,它能对连续性和不完整的数据集进行属性约简.
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| 关 键 词： | 粗糙集 联系度 聚类分析 属性约简 |
A Rough Set Model Based on Statistics and Connection Degree and Its Applications |
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| LIU Gao-feng,FENG Pei.A Rough Set Model Based on Statistics and Connection Degree and Its Applications[J].Journal of Neijiang Teachers College,2008,23(12). |
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| Authors: | LIU Gao-feng FENG Pei |
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| Institution: | LIU Gao-feng1,2,FENG Pei2 |
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| Abstract: | Since currently there exists no attribute reduction theory for continuous and incomplete data,a new rough set model based on statistics and connection degree is proposed by application of statistical cluster analysis and connection degree of set-pair analysis.The new model is capable of conducting attribute reduction over continuous and incomplete data. |
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| Keywords: | rough set connection degree cluster analysis attribute reduction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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