Results 11 to 20 of about 782 (249)
Mathematics, 2019 The basic idea underneath the generalized intuitionistic fuzzy soft set is very constructive in decision making, since it considers how to exploit an extra intuitionistic fuzzy input from the director to make up for any distortion in the information ...
Muhammad Jabir Khan +4 more
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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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Heuristic Approaches to Attribute Reduction for Generalized Decision Preservation
Applied Sciences, 2019 Attribute reduction is a challenging problem in rough set theory, which has been applied in many research fields, including knowledge representation, machine learning, and artificial intelligence.
Nan Zhang, Xueyi Gao, Tianyou Yu
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A Granular Reduction Algorithm Based on Covering Rough Sets
Journal of Applied Mathematics, 2012 The granular reduction is to delete dispensable elements from a covering. It is an efficient method to reduce granular structures and get rid of the redundant information from information systems.
Tian Yang, Zhaowen Li, Xiaoqing Yang
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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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Local Indiscernibility Relation Reduction for Information Tables
IEEE Access, 2022 Attribute reduction comes from machine learning and is an important component of rough set theory. Research on attribute reduction has produced many important achievements.
Xu Li, Jianguo Tang, Jiyong Tang
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Characterizations for Matrices of Dominant Support Parameters in Soft Sets
IEEE Access, 2020 The matrix of dominant support parameters plays an important role in solving the normal and pseudo parameter reduction problems for soft sets. This article aims to make a fundamental investigation on the properties of matrix of dominant support ...
Banghe Han +3 more
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Attribute Reduction Methods Based on Pythagorean Fuzzy Covering Information Systems
IEEE Access, 2020 By introducing covering rough sets to Pythagorean fuzzy environment, we construct a new rough set model called the Pythagorean fuzzy λ-covering rough set.
Chen Yan, Haidong Zhang
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IEEE Access, 2023 Although the concepts of imprecision are captured by both rough sets and intuitionistic fuzzy sets, investigations combining these two ideas and their applications in incompletely ordered information systems are scarce.
Iftikhar Ul Haq +4 more
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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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