Results 31 to 40 of about 146,160 (266)
Attribute Reduction and Information Granularity [PDF]
Journal of Systemics, Cybernetics and Informatics, 2003 In the view of granularity, this paper analyzes the influence of three attribute reducts on an information system, finding that the possible reduct and m - decision reduct will make the granule view coarser, while discernible reduct will not change the ...
Li-hong Wang, Geng-feng Wu
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Neighborhood conditional mutual information entropy attribute reduction algorithm for hybrid data
大数据, 2022 Attribute reduction is an important research content of the rough set theory.Its main purpose is to eliminate irrelevant attributes in information systems, reduce data dimensions and improve data knowledge discovery performance.However, most of the ...
Haibo LAN
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Attribute Reduction in Intuitionistic Fuzzy Concept Lattices
Abstract and Applied Analysis, 2013 As an effective tool for knowledge discovery, concept lattice has been successfully applied to various fields. And one of the key problems of knowledge discovery is attribute reduction.
Jinzhong Pang, Xiaoyan Zhang, Weihua Xu
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Research on Attribute Reduction Algorithm in Aquatic Product Safety Assessment System [PDF]
Jisuanji gongcheng, 2016 Aiming at the complexity and redundancy of the evaluation index in the aquatic product safety assessment system,a new attribute reduction algorithm based on attribute unimportance is proposed.The algorithm uses the method of fusing the positive region ...
E Xu,TAN Yan,LI Jianrong,MAO Meijing,YANG Mingjing
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Attribute Reduction in an Incomplete Interval-Valued Decision Information System
IEEE Access, 2021 An incomplete interval-valued decision information system (IIVDIS) is a significant type of data decision table, which is ubiquitous in real life. Interval value is a form of knowledge representation, and it seems to be an embodiment of the uncertainty ...
Yiying Chen, Zhaowen Li, Gangqiang Zhang
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Efficient Attribute Reduction Algorithm [PDF]
, 2004 Efficiency of algorithms is always an important issue concerned by so many researchers. Rough set theory is a valid tool to deal with imprecise problems. However, some of its algorithms’ consuming time limits the applications of rough set. According to this, our paper analyzes the reasons of rough set algorithms’ inefficiency by focusing on two ...
Zhongzhi Shi +2 more
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Ensemble-Based Neighborhood Attribute Reduction: A Multigranularity View
Complexity, 2019 Recently, multigranularity has been an interesting topic, since different levels of granularity can provide different information from the viewpoint of Granular Computing (GrC). However, established researches have focused less on investigating attribute
Yuan Gao +4 more
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Positive Macroscopic Approximation for Fast Attribute Reduction
Journal of Applied Mathematics, 2013 Attribute reduction is one of the challenging problems facing the effective application of computational intelligence technology for artificial intelligence.
Zheng-Cai Lu +3 more
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Random sampling accelerator for attribute reduction
International Journal of Approximate Reasoning, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhen Chen +3 more
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International Journal of Approximate Reasoning, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xianyong Zhang, Duoqian Miao 0001
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