Add to ORKGThis paper presents a new extension of fuzzy sets: R-fuzzy sets. The membership of an element of a R-fuzzy set is represented as a rough set. This new extension facilitates the representation of an uncertain fuzzy membership with a rough approximation. Based on our definition of R-fuzzy sets and their operations, the relationships between R-fuzzy sets and other fuzzy sets are discussed and some examples are provided
One of the many successful applications of rough set theory has been to the area of feature selectio...
The main aim of this paper is to connect R-fuzzy sets and type-2 fuzzy sets, so as to provide a prac...
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...
The main aim of this paper is to connect R-Fuzzy sets and type-2 fuzzy sets, so as to provide a prac...
Rough set theory is a powerful tool to analysis the information systems. Fuzzy rough set is introduc...
Rough set theory is a powerful tool to analysis the information systems. Fuzzy rough set is introduc...
The main aim of this paper is to connect R-Fuzzy sets and type-2 fuzzy sets, so as to provide a prac...
This paper presents a newly created significance measure based on a variation of Bayes' theorem, one...
Rough set theory is a new method that deals with vagueness and uncertainty emphasized in decision ma...
Rough set theory and fuzzy logic are mathematical frameworks for granular computing forming a theore...
The concept of a fuzzy set was introduced by Zadeh in 1965. Fuzzy set is a mathematical model of vag...
An integration between the theories of fuzzy sets and rough sets has been attempted by providing a m...
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...
The main aim of this paper is to connect R-fuzzy sets and type-2 fuzzy sets, so as to provide a prac...
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...
The main aim of this paper is to connect R-Fuzzy sets and type-2 fuzzy sets, so as to provide a prac...
Rough set theory is a powerful tool to analysis the information systems. Fuzzy rough set is introduc...
Rough set theory is a powerful tool to analysis the information systems. Fuzzy rough set is introduc...
The main aim of this paper is to connect R-Fuzzy sets and type-2 fuzzy sets, so as to provide a prac...
This paper presents a newly created significance measure based on a variation of Bayes' theorem, one...
Rough set theory is a new method that deals with vagueness and uncertainty emphasized in decision ma...
Rough set theory and fuzzy logic are mathematical frameworks for granular computing forming a theore...
The concept of a fuzzy set was introduced by Zadeh in 1965. Fuzzy set is a mathematical model of vag...
An integration between the theories of fuzzy sets and rough sets has been attempted by providing a m...
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...
The main aim of this paper is to connect R-fuzzy sets and type-2 fuzzy sets, so as to provide a prac...
Abstract—Rough sets, especially fuzzy rough sets, are suppos-edly a powerful mathematical tool to de...