| 基于模糊相似矩阵与粗糙集的规则获取 |
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| 引用本文： | 冯源.基于模糊相似矩阵与粗糙集的规则获取[J].太原师范学院学报(自然科学版),2008,7(1):26-30. |
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| 作者姓名： | 冯源 |
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| 作者单位： | 太原师范学院数学系,山西,太原,030012 |
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| 摘 要： | 粗糙集理论是一种对对象进行分类的能力.分类是推理、学习与决策中的关键问题.传统粗糙集所基于的是不分明关系,这往往使得分类过细,因而基于粗糙集的规则获取也存在知识粒度过细的问题.文章探讨一种基于模糊相似矩阵的分类方式,把传统的等价关系弱化为模糊等价关系,从而得到更具表达力的粗糙集模型,在这个前提下讨论规则获取一定程度上解决了知识粒度过细的问题.
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| 关 键 词： | 粗糙集 等价关系 模糊相似矩阵 规则获取 |
Rule Acquistion Based on Fuzzy Similar Matrix and Rough Set |
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| Feng Yuan.Rule Acquistion Based on Fuzzy Similar Matrix and Rough Set[J].Journal of Taiyuan Normal University:Natural Science Edition,2008,7(1):26-30. |
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| Authors: | Feng Yuan |
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| Institution: | Feng Yuan(Department of Mathematics,Taiyuan Normal University,Taiyuan 030012,China) |
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| Abstract: | Rough set assumes that knowledge is a kind of capability of classification.Classification is an important problem about inference and knowledge acquisition and decision.The original rough set bases on equivalence relation,which makes the classification too detailed.So the same question in the rule acquisition based on the rough set.The author devotes a methodology for classification based on fuzzy similar matrix to make the mould of rough set much better.It is a generalized approach of the original equivalence relation. |
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| Keywords: | rough set equivalence relation fuzzy similar matrix rule acquisition |
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