An approximation space is a key concept in rough set theory, which plays an important role to approximate reasoning about data. An interval-valued fuzzy (IVF, for short) approximation space is an approximation space in the IVF environment. In this paper, IVF rough approximation operators are investigated with topological structures of IVF approximation spaces given
AbstractThe combination of the rough set theory, vague set theory and fuzzy set theory is a novel re...
This paper presents a general frameworkfor the study of rough set approximation operators in fuzzy e...
In this paper, the fuzziness of Gomolińska approx-imation space based on uncertainty mappings was in...
AbstractAn approximation space is a key concept in rough set theory, which plays an important role t...
Abstract In this paper, a general framework for the study of dual fuzzy rough approximation operator...
This paper is devoted to the study of axiomatic characterizations of IVF rough approximation operato...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
In this paper, we examine the fuzzy neutrosophic relation having a special property that can be equi...
We introduce the concept of IVF approximating spaces and obtain decision conditions that every IVF t...
Rough approximation operators in approximation spaces are the core concept of rough set theory, whic...
AbstractThe approximation space model was originally proposed by Pawlak (1982) [19]. It was Orłowska...
Two kinds of homomorphisms of fuzzy approximation spaces based on complete residuated lattice are pr...
AbstractRough approximation operators in approximation spaces are the core concept of rough set theo...
AbstractThis paper focuses on the generalization of covering-based rough set models via the concept ...
AbstractThis paper investigates the relationship among fuzzy rough sets, fuzzy closure spaces and fu...
AbstractThe combination of the rough set theory, vague set theory and fuzzy set theory is a novel re...
This paper presents a general frameworkfor the study of rough set approximation operators in fuzzy e...
In this paper, the fuzziness of Gomolińska approx-imation space based on uncertainty mappings was in...
AbstractAn approximation space is a key concept in rough set theory, which plays an important role t...
Abstract In this paper, a general framework for the study of dual fuzzy rough approximation operator...
This paper is devoted to the study of axiomatic characterizations of IVF rough approximation operato...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
In this paper, we examine the fuzzy neutrosophic relation having a special property that can be equi...
We introduce the concept of IVF approximating spaces and obtain decision conditions that every IVF t...
Rough approximation operators in approximation spaces are the core concept of rough set theory, whic...
AbstractThe approximation space model was originally proposed by Pawlak (1982) [19]. It was Orłowska...
Two kinds of homomorphisms of fuzzy approximation spaces based on complete residuated lattice are pr...
AbstractRough approximation operators in approximation spaces are the core concept of rough set theo...
AbstractThis paper focuses on the generalization of covering-based rough set models via the concept ...
AbstractThis paper investigates the relationship among fuzzy rough sets, fuzzy closure spaces and fu...
AbstractThe combination of the rough set theory, vague set theory and fuzzy set theory is a novel re...
This paper presents a general frameworkfor the study of rough set approximation operators in fuzzy e...
In this paper, the fuzziness of Gomolińska approx-imation space based on uncertainty mappings was in...
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