Attribute Reduction Based on Property Pictorial Diagram [PDF]
The Scientific World Journal, 2014 This paper mainly studies attribute reduction which keeps the lattice structure in formal contexts based on the property pictorial diagram. Firstly, the property pictorial diagram of a formal context is defined.
Qing Wan, Ling Wei
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A dynamic attribute reduction algorithm based on relative neighborhood discernibility degree [PDF]
Scientific ReportsThis paper addresses the current existence of attribute reduction algorithms for incomplete hybrid decision-making systems, including low attribute reduction efficiency, low classification accuracy and lack of consideration of unlabeled data types.
Weibing Feng, Tiantian Sun
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Attribute Reduction in Incompleteness and Inconsistent Decision Table Under Grey Dominance Relation [PDF]
Jisuanji gongcheng, 2017 For attribute reduction problem in inconsistent decision table whose attribute values are three-parameter interval grey numbers,two attribute reduction algorithms are presented.According to the preference between grey information,a grey dominance ...
LUO Dang,MAO Wenxin,SUN Huifang
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Three-way Approximate Reduction Based on Positive Region [PDF]
Jisuanji kexue, 2022 Attribute reduction is one of the most important research topics in the theory of three-way decision.However, the existing attribute reduction methods based on three-way decision are too strict, which limit the efficiency of attribute reduction.In this ...
WANG Zhi-cheng, GAO Can, XING Jin-ming
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Incremental Attribute Reduction Under Variations of the Attribute Set Based on Conflict Region
IEEE Access, 2021 In real application, the attribute set of decision systems may vary with time. How to efficiently update the reduct becomes one of important tasks in the knowledge discovery.
Chuanjian Yang, Gang Li
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Pretopological applications for attribute reduction in information systems [PDF]
Alfarama Journal of Basic & Applied Sciences, 2022 In the past decades, the tremendous growth in computer-based information technology has led to the need for an efficient handling of information systems for the purpose of supporting decision making.
Asmaa Nasr +2 more
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Incremental Attribute Reduction Method Based on Chi-Square Statistics and Information Entropy
IEEE Access, 2020 Attributes in datasets are usually not equally significant. Some attributes are unnecessary or redundant. Attribute reduction is an important research issue of rough set theory, which can find minimum subsets of attributes with the same classification ...
Na Su +3 more
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Matrix-Type Attribute Reduction for Inconsistent Formal Decision Contexts
Jisuanji kexue yu tansuo, 2020 Attribute reduction is a powerful tool about knowledge representation and data analysis in formal concept analysis. There are many approaches of attribute reduction for inconsistent formal decision contexts.
ZHANG Chengling, LI Jinjin, LIN Yidong
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Multigranulation Supertrust Model for Attribute Reduction [PDF]
IEEE Transactions on Fuzzy Systems, 2021 As big data often contains a significant amount of uncertain, unstructured, and imprecise data that are structurally complex and incomplete, traditional attribute reduction methods are less effective when applied to large-scale incomplete information systems to extract knowledge.
Weiping Ding 0001 +4 more
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A Distributed Attribute Reduction Algorithm for High-Dimensional Data under the Spark Framework
International Journal of Computational Intelligence Systems, 2022 Attribute reduction is an important issue in rough set theory. However, the rough set theory-based attribute reduction algorithms need to be improved to deal with high-dimensional data.
Zhengjiang Wu +4 more
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