Results 21 to 30 of about 1,694,129 (281)
Sensor data reduction with novel local neighborhood information granularity and rough set approach
Frontiers in Physics, 2023 Data description and data reduction are important issues in sensors data acquisition and rough sets based models can be applied in sensors data acquisition. Data description by rough set theory relies on information granularity, approximation methods and
Xiaoxue Fan +6 more
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A Note on Graded Granular Rough Sets
, 2021 FRSA International Conference on Zdislaw Pawlak's 95th Birth Anniversary, November 2021. Abstract: Of the many generalizations of rough sets in the literature, graded rough sets are among the most controversial.
A MANI
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Granule Vectors and Granular Convolutional Classifiers
IEEE Access, 2020 Convolutional operations can extract effective features and have been widely used in the field of deep learning. For the deficiency of convolution mainly dealing with numerical data, we propose a novel convolutional operator on granules with a set form ...
Yumin Chen +3 more
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Topological Approaches for Rough Continuous Functions with Applications
Complexity, 2021 In this paper, we purposed further study on rough functions and introduced some concepts based on it. We introduced and investigated the concepts of topological lower and upper approximations of near-open sets and studied their basic properties.
A. S. Salama +3 more
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Novel Graph Neighborhoods Emerging from Ideals
Mathematics, 2023 Rough set theory is a mathematical approach that deals with the problems of uncertainty and ambiguity in knowledge. Neighborhood systems are the most effective instruments for researching rough set theory in general.
Ayşegül Çaksu Güler +4 more
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Complex & Intelligent Systems, 2023 Fuzzy rough set models are useful tools for dealing with fuzzy and real-valued data. They have been used in many real-world applications. In this paper, we investigate the fuzzy rough set model based on triangular norms and fuzzy implications.
Zhaohao Wang
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Autonomous clustering using rough set theory [PDF]
, 2008 This paper proposes a clustering technique that minimises the need for subjective human intervention and is based on elements of rough set theory. The proposed algorithm is unified in its approach to clustering and makes use of both local and global ...
Chandra Kambhampati +3 more
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The Journal of Engineering, 2019 It is an important subject to mine valuable knowledge from complex and massive data in the era of big data. Rough set theory is a new mathematical tool for dealing with uncertain and inaccurate data, decision-theoretic rough set model (DTRS), as an ...
Jiajun Chen +3 more
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Six-Set Approximation Theorem of neighborhood related rough sets
International Journal of Approximate Reasoning, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liwen Ma, Hui Lu
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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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