Rough set theory is a powerful tool to analysis the information systems. Fuzzy rough set is introduced as a fuzzy generalization of rough sets. This paper reviewed the most important contributions to the rough set theory, fuzzy rough set theory and their applications. In many real world situations, some of the attribute values for an object may be in the set-valued form. In this paper, to handle this problem, we present a more general approach to the fuzzification of rough sets. Specially, we define a broad family of fuzzy rough sets. This paper presents a new development for the rough set theory by incorporating the classical rough set theory and the interval-valued fuzzy sets. The proposed methods are illustrated by an numerical example o...
AbstractThe concept of the rough set was originally proposed by Pawlak as a formal tool for modeling...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
A rough fuzzy set is the result of approximation of a fuzzy set with respect to a crisp approximatio...
Rough set theory is a powerful tool to analysis the information systems. Fuzzy rough set is introduc...
Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artifici...
Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artifici...
Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artifici...
Rough set theory is a new method that deals with vagueness and uncertainty emphasized in decision ma...
AbstractFuzzy set theory, soft set theory and rough set theory are mathematical tools for dealing wi...
This paper presents a new extension of fuzzy sets: R-fuzzy sets. The membership of an element of a R...
Abstract—Rough sets, especially fuzzy rough sets, are suppos-edly a powerful mathematical tool to de...
This paper presents a new extension of fuzzy sets: R-fuzzy sets. The membership of an element of a R...
This paper presents a new extension of fuzzy sets: R-fuzzy sets. The membership of an element of a R...
One of the many successful applications of rough set theory has been to the area of feature selectio...
One of the many successful applications of rough set theory has been to the area of feature selectio...
AbstractThe concept of the rough set was originally proposed by Pawlak as a formal tool for modeling...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
A rough fuzzy set is the result of approximation of a fuzzy set with respect to a crisp approximatio...
Rough set theory is a powerful tool to analysis the information systems. Fuzzy rough set is introduc...
Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artifici...
Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artifici...
Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artifici...
Rough set theory is a new method that deals with vagueness and uncertainty emphasized in decision ma...
AbstractFuzzy set theory, soft set theory and rough set theory are mathematical tools for dealing wi...
This paper presents a new extension of fuzzy sets: R-fuzzy sets. The membership of an element of a R...
Abstract—Rough sets, especially fuzzy rough sets, are suppos-edly a powerful mathematical tool to de...
This paper presents a new extension of fuzzy sets: R-fuzzy sets. The membership of an element of a R...
This paper presents a new extension of fuzzy sets: R-fuzzy sets. The membership of an element of a R...
One of the many successful applications of rough set theory has been to the area of feature selectio...
One of the many successful applications of rough set theory has been to the area of feature selectio...
AbstractThe concept of the rough set was originally proposed by Pawlak as a formal tool for modeling...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
A rough fuzzy set is the result of approximation of a fuzzy set with respect to a crisp approximatio...