Results 21 to 30 of about 50,721 (156)
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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Soft Interval-Valued Neutrosophic Rough Sets [PDF]
Neutrosophic Sets and Systems, 2015 In this paper, we first defined soft interval-valued neutrosophic rough sets(SIVN- rough sets for short) which combines interval valued neutrosophic soft set and rough sets and studied some of its basic properties.
Said Broumi, Florentin Smarandache
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A Study of Roughness in Modules of Fractions
IEEE Access, 2019 The theory of rough sets is successfully applied in various algebraic systems (e.g. groups, rings, and modules). In this paper, the concept of roughness is introduced in modules of fractions with respect to its submodules.
Zhihua Chen +4 more
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IEEE Access, 2023 In recent days, due to the complexities of different diseases of similar types, it becomes very difficult to diagnose an accurate type of disease, and so medical diagnosis becomes a difficult task for the experts working in health departments.
Tahir Mahmood +3 more
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Rough Fuzzy Hyperideals in Ternary Semihypergroups
Advances in Fuzzy Systems, 2012 The relations between rough sets and algebraic systems have been already considered by many mathematicians, and rough sets have been studied in various kinds of algebraic systems.
Naveed Yaqoob +2 more
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On Rough Sets and Hyperlattices
Ratio Mathematica, 2018 In this paper, we introduce the concepts of upper and lower rough hyper fuzzy ideals (filters) in a hyperlattice and their basic properties are discussed. Let $\theta$ be a hyper congruence relation on $L$. We show that if $\mu$ is a fuzzy subset of $L$,
Ali Akbar Estaji, Fereshteh Bayati
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A Deep Convolutional Neural Network With Fuzzy Rough Sets for FER
IEEE Access, 2020 Existing facial emotion recognition methods do not have high accuracy and are not sufficient practical in real-time applications. We introduce type 2 fuzzy rough sets to develop a Type 2 Fuzzy Rough Convolutional Neural Network, as type 2 fuzzy rough ...
Xiangjian Chen +3 more
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Rough Sets in Biomedical Informatics
Biomath, 2013 The intent of this paper is to face the essentials of granular computing and in its major component - the rough sets theory, introduced by Pawlak, since any rough set represents an information granule.
Antony Popov, Simeon Stoykov
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Port throughput influence factors based on neighborhood rough sets: An exploratory study
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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Kernel Neighborhood Rough Sets Model and Its Application
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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