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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Attribute reduction with fuzzy rough self-information measures
Information Sciences, 2021 The fuzzy rough set is one of the most effective methods for dealing with the fuzziness and uncertainty of data. However, in most cases this model only considers the information provided by the lower approximation of a decision when it is used to ...
Changzhong Wang +3 more
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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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A Novel Spark-Based Attribute Reduction and Neighborhood Classification for Rough Evidence
IEEE Transactions on Cybernetics, 2022 Neighborhood classification (NEC) algorithms have been widely used to solve classification problems. Most traditional NEC algorithms employ the majority voting mechanism as the basis for final decision making. However, this mechanism hardly considers the
Wei-Ping Ding +6 more
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Random sampling accelerator for attribute reduction
International Journal of Approximate Reasoning, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhen Chen +3 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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