Knowledge Reduction Based on Rough Entropy in Inconsistent Systems

机译：不一致系统中基于粗糙熵的知识约简

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Based on conditional rough entropy theory, the concepts of rough entropy of elements and decision sets in decision information systems are given. The relationships between conditional rough entropy and alternative types of knowledge reduction in inconsist

机译：基于条件粗糙熵理论，给出了决策信息系统中元素和决策集的粗糙熵的概念。条件粗糙熵与替代知识减少类型之间的关系不一致

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《Natural Language Processing and Knowledge Engineering, 2007 International Conference on》|2007年|P.355-360|共6页
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Jian Li; Xiaojing Xu;
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中图分类工业技术;
关键词
data mining; data reduction; decision support systems; decision theory; entropy; knowledge representation; rough set theory; conditional rough entropy theory; data mining; decision information systems; decision set; distribution reduction; inconsistent systems; knowl;

机译：数据挖掘;数据约简;决策支持系统;决策理论;熵;知识表示;粗糙集理论;条件粗糙熵理论;数据挖掘;决策信息系统;决策集;分布约简;不一致系统;知识;

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3. A Max-Term Counting Based Knowledge Inconsistency Checking Strategy and Inconsistency Measure Calculation of Fuzzy Knowledge Based Systems [J] . Zhi Hui-lai Mathematical Problems in Engineering . 2015,第PTa14期

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4. Knowledge Reduction Based on Rough Entropy in Inconsistent Systems [C] . Yusuke Kudo, rnHiroshi Taguchi, rnSumio Kogoshi 2007 IEEE International Conference on Natural Language Processing and Knowledge Engineering(NLP-KE'07) . 2007

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5. Learning rules from examples under uncertainty--an approach based on rough-set boundaries and entropy. [D] . Chan, Chien-Chung. 1989

机译：从不确定情况下的示例中学习规则-一种基于粗糙边界和熵的方法。
6. An Efficient Alert Aggregation Method Based on Conditional Rough Entropy and Knowledge Granularity [O] . Jiaxuan Sun, Lize Gu, Kaiyuan Chen 2020

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7. Rough Entropy-based Knowledge Reduction using Rough Set Theory [O] . In-Kyoo Park 2014

机译：基于粗糙的熵的知识减少使用粗糙集理论

Knowledge Reduction Based on Rough Entropy in Inconsistent Systems

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