Results 11 to 20 of about 1,694,129 (281)
Reduction of Neighborhood-Based Generalized Rough Sets [PDF]
Journal of Applied Mathematics, 2011 Rough set theory is a powerful tool for dealing with uncertainty, granularity, and incompleteness of knowledge in information systems. This paper discusses five types of existing neighborhood-based generalized rough sets.
Zhaohao Wang, Lan Shu, Xiuyong Ding
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Kernel Neighborhood Rough Sets Model and Its Application [PDF]
Complexity, 2018 Rough set theory has been successfully applied to many fields, such as data mining, pattern recognition, and machine learning. Kernel rough sets and neighborhood rough sets are two important models that differ in terms of granulation.
Kai Zeng, Siyuan Jing
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New neighborhood based rough sets [PDF]
, 2015 Neighborhood based rough sets are important generalizations of the classical rough sets of Pawlak, as neighborhood operators generalize equivalence classes.
Chris Cornelis +3 more
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Covering Fuzzy Rough Sets via Variable Precision
Journal of Mathematics, 2021 Lately, covering fuzzy rough sets via variable precision according to a fuzzy γ-neighborhood were established by Zhan et al. model. Also, Ma et al. gave the definition of complementary fuzzy γ-neighborhood with reflexivity.
Mohammed Atef, A. A. Azzam
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Port throughput influence factors based on neighborhood rough sets: An exploratory study [PDF]
Journal of Industrial Engineering and Management, 2015 Purpose: The purpose of this paper is to devise a efficient method for the importance analysis on Port Throughput Influence Factors. Design/methodology/approach: Neighborhood rough sets is applied to solve the problem of selection factors.
Weiping Cui, Lei Huang, Ying Wang
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Two Different Views for Generalized Rough Sets with Applications
Mathematics, 2021 Rough set philosophy is a significant methodology in the knowledge discovery of databases. In the present paper, we suggest new sorts of rough set approximations using a multi-knowledge base; that is, a family of the finite number of general binary ...
Radwan Abu-Gdairi +3 more
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Grid service discovery with rough sets [PDF]
, 2008 Copyright [2008] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Wang, Z, Li, M, Rana, O, Yu, B
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Entropy, 2021 Feature selection is one of the core contents of rough set theory and application. Since the reduction ability and classification performance of many feature selection algorithms based on rough set theory and its extensions are not ideal, this paper ...
Jiucheng Xu +3 more
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Single-Valued Neutrosophic Covering-Based Rough Set Model Over Two Universes and Its Application in MCDM [PDF]
Neutrosophic Sets and Systems, 2023 This article aims to propose a new type of single-valued neutrosophic(SVN) covering-based rough sets over two universes by using Wang’s single-valued neutrosophic covering rough sets.
Somen Debnath
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Attribute Reduction of Boolean Matrix in Neighborhood Rough Set Model
International Journal of Computational Intelligence Systems, 2020 Neighborhood rough set is a powerful tool to deal with continuous value information systems. Graphics processing unit (GPU) computing can efficiently accelerate the calculation of the attribute reduction and approximation sets based on matrix.
Yan Gao, Changwei Lv, Zhengjiang Wu
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