AbstractRough set theory was developed by Pawlak as a formal tool for approximate reasoning about data. Various fuzzy generalizations of rough approximations have been proposed in the literature. As a further generalization of the notion of rough sets, L-fuzzy rough sets were proposed by Radzikowska and Kerre. In this paper, we present an operator-oriented characterization of L-fuzzy rough sets, that is, L-fuzzy approximation operators are defined by axioms. The methods of axiomatization of L-fuzzy upper and L-fuzzy lower set-theoretic operators guarantee the existence of corresponding L-fuzzy relations which produce the operators. Moreover, the relationship between L-fuzzy rough sets and L-topological spaces is obtained. The sufficient and...
The starting point of the paper is the (well-known) observation that the classical Rough Set Theory ...
Ever since the first hybrid fuzzy rough set model was proposed in the early 1990' s, many researcher...
In this paper we review four fuzzy extensions of the so-called tight pair of covering based rough se...
For L a complete co-residuated lattice and R an L-fuzzy relation, an L-fuzzy upper approximation ope...
AbstractThe primitive notions in rough set theory are lower and upper approximation operators define...
Abstract In this paper, a general framework for the study of dual fuzzy rough approximation operator...
Abstract In this paper, we investigate the properties of L-lower approximation operators as a genera...
This paper presents a general frameworkfor the study of rough set approximation operators in fuzzy e...
AbstractThis paper focuses on the generalization of covering-based rough set models via the concept ...
AbstractThe primitive notions in rough set theory are lower and upper approximation operators define...
AbstractRough set theory is an important tool for approximate reasoning about data. Axiomatic system...
AbstractThis paper proposes a general study of (I,T)-interval-valued fuzzy rough sets on two univers...
Approximation operators play a vital role in rough set theory. Their three elements, namely, binary ...
Approximation operators play a vital role in rough set theory. Their three elements, namely, binary ...
Ever since the first hybrid fuzzy rough set model was proposed in the early 1990' s, many researcher...
The starting point of the paper is the (well-known) observation that the classical Rough Set Theory ...
Ever since the first hybrid fuzzy rough set model was proposed in the early 1990' s, many researcher...
In this paper we review four fuzzy extensions of the so-called tight pair of covering based rough se...
For L a complete co-residuated lattice and R an L-fuzzy relation, an L-fuzzy upper approximation ope...
AbstractThe primitive notions in rough set theory are lower and upper approximation operators define...
Abstract In this paper, a general framework for the study of dual fuzzy rough approximation operator...
Abstract In this paper, we investigate the properties of L-lower approximation operators as a genera...
This paper presents a general frameworkfor the study of rough set approximation operators in fuzzy e...
AbstractThis paper focuses on the generalization of covering-based rough set models via the concept ...
AbstractThe primitive notions in rough set theory are lower and upper approximation operators define...
AbstractRough set theory is an important tool for approximate reasoning about data. Axiomatic system...
AbstractThis paper proposes a general study of (I,T)-interval-valued fuzzy rough sets on two univers...
Approximation operators play a vital role in rough set theory. Their three elements, namely, binary ...
Approximation operators play a vital role in rough set theory. Their three elements, namely, binary ...
Ever since the first hybrid fuzzy rough set model was proposed in the early 1990' s, many researcher...
The starting point of the paper is the (well-known) observation that the classical Rough Set Theory ...
Ever since the first hybrid fuzzy rough set model was proposed in the early 1990' s, many researcher...
In this paper we review four fuzzy extensions of the so-called tight pair of covering based rough se...