In this paper, within the context of fuzzy rough set theory, we generalize the classical rough set framework for data-based attribute selection and reduction, based on the notion of fuzzy decision reducts. Experimental analysis confirms the potential of the approach
A recent TRANSACTIONS ON FUZZY SYSTEMS paper proposing a new fuzzy-rough feature selector (FRFS) has...
Rough set theory provides a useful mathematical foundation for developing automated computational sy...
Rough set theory has proven to be a useful mathematicalbasis for developing automated computational ...
In this paper, within the context of fuzzy rough set theory, we generalize the classical rough set f...
Rough set theory provides a methodology for data analysis based on the approximation of concepts in ...
Rough set theory provides a methodology for data analysis based on the approximation of concepts in ...
In this paper, within the context of fuzzy rough set theory, we generalize the classical rough set f...
There has been great interest in developing methodologies that are capable of dealing with imprecisi...
There has been great interest in developing methodologies that are capable of dealing with imprecisi...
Dataset dimensionality is undoubtedly the single most significant obstacle which exasperates any att...
Dataset dimensionality is undoubtedly the single most significant obstacle which exasperates any att...
In rough set based feature selection, the goal is to omit attributes (features) from decision system...
In rough set based feature selection, the goal is to omit attributes (features) from decision system...
A recent TRANSACTIONS ON FUZZY SYSTEMS paper proposing a new fuzzy-rough feature selector (FRFS) has...
Rough set theory provides a useful mathematical foundation for developing automated computational sy...
A recent TRANSACTIONS ON FUZZY SYSTEMS paper proposing a new fuzzy-rough feature selector (FRFS) has...
Rough set theory provides a useful mathematical foundation for developing automated computational sy...
Rough set theory has proven to be a useful mathematicalbasis for developing automated computational ...
In this paper, within the context of fuzzy rough set theory, we generalize the classical rough set f...
Rough set theory provides a methodology for data analysis based on the approximation of concepts in ...
Rough set theory provides a methodology for data analysis based on the approximation of concepts in ...
In this paper, within the context of fuzzy rough set theory, we generalize the classical rough set f...
There has been great interest in developing methodologies that are capable of dealing with imprecisi...
There has been great interest in developing methodologies that are capable of dealing with imprecisi...
Dataset dimensionality is undoubtedly the single most significant obstacle which exasperates any att...
Dataset dimensionality is undoubtedly the single most significant obstacle which exasperates any att...
In rough set based feature selection, the goal is to omit attributes (features) from decision system...
In rough set based feature selection, the goal is to omit attributes (features) from decision system...
A recent TRANSACTIONS ON FUZZY SYSTEMS paper proposing a new fuzzy-rough feature selector (FRFS) has...
Rough set theory provides a useful mathematical foundation for developing automated computational sy...
A recent TRANSACTIONS ON FUZZY SYSTEMS paper proposing a new fuzzy-rough feature selector (FRFS) has...
Rough set theory provides a useful mathematical foundation for developing automated computational sy...
Rough set theory has proven to be a useful mathematicalbasis for developing automated computational ...
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