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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…
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Keywords:
methodology;
coverings based;
fuzzy rough;
cmgfrs models ... See more keywords
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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…
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Keywords:
multigranulation fuzzy;
rough sets;
documentclass 12pt;
document ... See more keywords