Results 1 to 10 of about 1,653,449 (187)
Information, 2018 The binary discernibility matrix, originally introduced by Felix and Ushio, is a binary matrix representation for storing discernible attributes that can distinguish different objects in decision systems. It is an effective approach for feature selection,
Nan Zhang +3 more
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Accelerated Feature Selection via Discernibility Hashing: A Rough Set Approach [PDF]
EntropyAs a foundational analytical tool, the discernibility matrix plays a pivotal role in the systematic reduction of knowledge in rough set-based systems. Recent advancements in rough set theory have witnessed the proliferation of discernibility matrix-based
Sheng Luo +3 more
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Soft discernibility matrix and attribute reduction for information systems
Tongxin xuebao, 2009 A new concept of soft discernibility matrix was proposed, and related theorems were given. By using soft discernibility matrix,attribute reductions of incomplete information systems, fuzzy value information systems and vague sets value information ...
YAN De-qin1, LI Ke-qiu2, CHI Zhong-xian2
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Rule Acquisition Algorithm Based on Enriching Discernibility Matrix [PDF]
Jisuanji gongcheng, 2016 Currently,the discernibility matrix method which is based on HU is not only time-consuming but also takes up a lot of storage space,so that the efficiency of the method is not high.Some scholars use the method of pairwise comparisons between elements to ...
ZHU Jinhu,XU Zhangyan,QIAO Lijuan,XIE Xiaojun,WANG Ting
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Using Covering Reduction to Identify Reducts for Object-Oriented Concept Lattices
Axioms, 2022 An object-oriented concept lattice, as an important generalization of classic concept lattices, is a bridge between formal concept analysis and rough set theory. This paper presents an application of covering reduction in formal concept analysis.
Guilong Liu
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Discernibility Matrix Simplification for Constructing Attribute Reducts [PDF]
Information Sciences, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yiyu Yao
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Soft Incomplete Discernibility Matrix for Decision-Making Problems
IEEE Access, 2018 Many decision-making processes are determined in an incomplete data environment. The analysis of decision-making problems on incomplete soft set data is usually performed by first estimating incomplete values.
Lue Li +3 more
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Discernibility Matrix and Its Application in Logical Optimization
Jisuanji kexue yu tansuo, 2021 The simplification of truth table is of great significance to the analysis and design of logic circuits. In this paper, the simplification of truth table is studied, and a method of GDM (granular discernibility matrix) that uses discernibility matrix is ...
YAN Xinyi, WEN Xin, CHEN Zehua
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Heart disease prediction using rough neutrosophic sets and dual-attention neural networks: RNS-OptiDANet [PDF]
Frontiers in Artificial IntelligenceIntroductionHeart disease is a major global health problem that highlights the need for effective and accurate prediction methods.MethodsThis paper presents RNS-OptiDANet, a hybrid framework that combines rough set theory (RST), rough neutrosophic sets ...
T. Ashika, G. Hannah Grace
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An Efficient Algorithm for Pawlak Reduction Based on Simplified Discernibility Matrix [PDF]
Fuzzy Information and Engineering, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang-Yan Xu, Bing-Ru Yang
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