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SOME PROPERTIES OF INDUCED COVER FROM FAMILY OF COVERING ROUGH SETS
Tạp chí Khoa học Đại học Đà Lạt, 2017 Rough set theory is an efficient and essential tool for dealing with vagueness and granularity in information systems. Covering based rough set theory is proposed as a significant generalization of classical rough sets.
Nguyễn Đức Thuần
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Rough analysis in lattices [PDF]
, 1991 An outline of an algebraie generalization of the rough set theory is presented in the paper. It is shown that the majority of the basic concepts of this theory has an immediate algebraic generalization, and that some rough set facts are true in general ...
Iwinski, Tadeusz B.
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River pattern discriminant method based on Rough Set theory
Journal of Hydrology: Regional Studies, 2023 Study region: The Yellow River located in the north of China, the most hyper-concentrated sediment-laden rivers in the world, is featured by complicated spatiotemporal variation of river patterns.
Chaode Yan +6 more
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Summary of related work on rough set theory.
, 2022 Summary of related work on rough set theory.
Habib Shah (12542791) +5 more
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ROUGH BIPOLAR NEUTROSOPHIC SET [PDF]
, 2016 Bipolar neutrosophic set theory and rough neutrosophic set theory are emerging as powerful tool for dealing with uncertainty, and indeterminate, incomlete, and inprecise information. In the present study we develop a hybrid structure called “rough bipoar
Surapati Pramanik*, Kalyan Mondal
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Attribute Reduction Based on Consistent Covering Rough Set and Its Application
Complexity, 2017 As an important processing step for rough set theory, attribute reduction aims at eliminating data redundancy and drawing useful information. Covering rough set, as a generalization of classical rough set theory, has attracted wide attention on both ...
Jianchuan Bai +3 more
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Constrained tolerance rough set in incomplete information systems
CAAI Transactions on Intelligence Technology, 2021 The tolerance rough set is developed as one of the outstanding extensions of the Pawlak's rough set model under incomplete information, and the limited tolerance relation is developed to overcome the problem that objects leniently satisfy the tolerance ...
Renxia Wan, Duoqian Miao, Witold Pedrycz
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A Novel Text Classification Model Combining Time Correlation Principle and Rough Set Theory
IEEE Access, 2023 This research aims to design a literary text feature classification and information extraction model based on the principle of temporal association and rough set theory.
Dejun Zhang
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Neutrosophic Soft Rough Graphs with Application
Axioms, 2018 Neutrosophic sets (NSs) handle uncertain information while fuzzy sets (FSs) and intuitionistic fuzzy sets (IFs) fail to handle indeterminate information. Soft set theory, neutrosophic set theory, and rough set theory are different mathematical models for
Muhammad Akram +3 more
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Decision-Theoretic Rough Set: A Fusion Strategy
IEEE Access, 2020 Decision-theoretic rough set is a popular topic. However, such single-granulation rough set model is not able to handle complex information well, such as multi-source, multi-scale and high dimensions data.
Tao Yin +5 more
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