Hesitant fuzzy rough set over two universes and its application in decision making
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-015-1882-3
Abstract: In this paper, we propose a general decision-making framework based on the HF rough set model over two universes. By a constructive approach, the HF rough set model over two universes is first presented and… read more here.
Keywords: fuzzy rough; two universes; hesitant fuzzy; rough set ... See more keywords
Novel soft fuzzy rough rings (ideals) of rings and their application in decision making
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-017-2967-y
Abstract: In this paper, we investigate the relationship among soft sets, rough sets, fuzzy sets and rings. The notion of soft fuzzy rough rings (ideals) of rings is introduced, which is an extended notion of soft… read more here.
Keywords: fuzzy rough; rings ideals; soft fuzzy; decision making ... See more keywords
New filter approaches for feature selection using differential evolution and fuzzy rough set theory
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-04744-7
Abstract: Nowadays the incredibly advanced developments in information technologies have led to exponential growth in the datasets with respect to both the dimensionality and the sample size. This trend can be easily illustrated in popular online… read more here.
Keywords: fuzzy rough; rough set; differential evolution; feature selection ... See more keywords
Novel classes of coverings based multigranulation fuzzy rough sets and corresponding applications to multiple attribute group decision-making
Sign Up to like & getrecommendations! Published in 2020 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-020-09846-1
Abstract: The notion of covering based multigranulation fuzzy rough set (CMGFRS) models is a generalization of both granular computing and covering based fuzzy rough sets. Therefore it has become a powerful tool for coping with vague… read more here.
Keywords: methodology; coverings based; fuzzy rough; cmgfrs models ... See more keywords
New covering techniques and applications utilizing multigranulation fuzzy rough sets
Sign Up to like & getrecommendations! Published in 2024 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-024-10860-w
Abstract: In order to conduct an in-depth study of Zhan’s methodology pertaining to the covering of multigranulation fuzzy rough sets (CMG\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox {C}_{{MG}}$$\end{document}FRSs), we build two families: the… read more here.
Keywords: multigranulation fuzzy; rough sets; documentclass 12pt; document ... See more keywords
A Novel Human Diabetes Biomarker Recognition Approach Using Fuzzy Rough Multigranulation Nearest Neighbour Classifier Model.
Sign Up to like & getrecommendations! Published in 2020 at "Interdisciplinary sciences, computational life sciences"
DOI: 10.1007/s12539-020-00391-7
Abstract: The selection of gene identifier from microarray databases is a challenging task since microarray contains large number of gene attributes for a few samples. This article proposes a novel fuzzy-rough set-based gene expression features selection… read more here.
Keywords: fuzzy rough; neighbour classifier; human diabetes; nearest neighbour ... See more keywords
Fuzzy rough discrimination and label weighting for multi-label feature selection
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.09.007
Abstract: Abstract Fuzzy rough set is a theoretical framework of fuzzy uncertainty management, and discernibility matrix offers a mathematical foundation for algorithm construction of feature learning. The approaches of fuzzy rough set and discernibility matrix have… read more here.
Keywords: fuzzy rough; label; multi label; discernibility matrix ... See more keywords
Hybrid similarity relation based mutual information for feature selection in intuitionistic fuzzy rough framework and its applications
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DOI: 10.1038/s41598-024-55902-z
Abstract: Fuzzy rough entropy established in the notion of fuzzy rough set theory, which has been effectively and efficiently applied for feature selection to handle the uncertainty in real-valued datasets. Further, Fuzzy rough mutual information has… read more here.
Keywords: information; fuzzy rough; feature selection; mutual information ... See more keywords
Exploring the anticancer activities of Sulfur and magnesium oxide through integration of deep learning and fuzzy rough set analyses based on the features of Vidarabine alkaloid
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DOI: 10.1038/s41598-024-82483-8
Abstract: Drug discovery and development is a challenging and time-consuming process. Laboratory experiments conducted on Vidarabine showed IC50 6.97 µg∕mL, 25.78 µg∕mL, and ˃ 100 µg∕mL against non-small Lung cancer (A-549), Human Melanoma (A-375), and Human… read more here.
Keywords: deep learning; anticancer; fuzzy rough; model ... See more keywords
Prediction of cancer using customised fuzzy rough machine learning approaches
Sign Up to like & getrecommendations! Published in 2019 at "Healthcare Technology Letters"
DOI: 10.1049/htl.2018.5055
Abstract: This Letter proposes a customised approach for attribute selection applied to the fuzzy rough quick reduct algorithm. The unbalanced data is balanced using synthetic minority oversampling technique. The huge dimensionality of the cancer data is… read more here.
Keywords: fuzzy rough; using customised; customised fuzzy; cancer ... See more keywords
Axiomatic characterizations of L-fuzzy rough sets by L-fuzzy unions and L-fuzzy intersections
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of General Systems"
DOI: 10.1080/03081079.2021.2024178
Abstract: In this paper, considering L being a complete residuated lattice, we first introduce the concept of mediate L-fuzzy relations and give its characterizations by L-fuzzy upper and lower rough approximation operators. Then we provide an… read more here.
Keywords: characterizations fuzzy; rough sets; unions fuzzy; sets fuzzy ... See more keywords