| 基于粗集方法的智能专家系统 |
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| 引用本文： | 曾黄麟.基于粗集方法的智能专家系统[J].中国工程科学,2001,3(2):47-51. |
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| 作者姓名： | 曾黄麟 |
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| 作者单位： | 四川轻化工学院,电信系,四川,自贡,643033 |
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| 基金项目： | 国家自然科学基金资助项目 !(6 9875 0 12 ) |
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| 摘 要： | 文章主要介绍基于粗集方法的智能专家系统的基本构成、知识表达方式及学习推理方法。提出了利用不可分辨性或根据算法相容性进行知识简化，导出决策规则的方法，通过研究导师的知识与学习者的知识之间的依赖程度，找出每一概念的有用特征，进行知识简化和系统简化，导出决策规则的学习推理方法。
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| 关 键 词： | 粗集方法 智能专家系统 不可分辨性 知识简化 决策规则 |
| 修稿时间： | 2000年9月2日 |
An Intelligent Expert System on Rough Sets |
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| zenghuanglin.An Intelligent Expert System on Rough Sets[J].Engineering Science,2001,3(2):47-51. |
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| Authors: | zenghuanglin |
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| Abstract: | The basic topology, knowledge representation and inductive learning of an intelligent expert system on rough sets are introduced in this paper. Based on the indiscernibility relation of system knowledge expression, a compatible algorithm is proposed to simplify the knowledge expressions and to induce the system decision rules. In order to extract the significant attributes from elementary knowledge and to reduce the dimensions of the system representation, inductive learning is also introduced by means of reasoning the dependency of knowledge between the teacher and the learner. |
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| Keywords: | rough sets intelligent expert system indiscernibility relation knowledge expression simplification decision rule |
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