In this paper we review four fuzzy extensions of the so-called tight pair of covering based rough set approximation operators. Furthermore, we propose two new extensions of the tight pair: for the first model, we apply the technique of representation by levels to define the approximation operators, while the second model is an intuitive extension of the crisp operators. For the six models, we study which theoretical properties they satisfy. Moreover, we discuss interrelationships between the models
Ever since the first hybrid fuzzy rough set model was pro- posed in the early 1990¿s, many researche...
This work was partially supported by the Spanish Ministry of Science and Technology under Project TI...
This paper presents a general frameworkfor the study of rough set approximation operators in fuzzy e...
In this paper we review four fuzzy extensions of the so-called tight pair of covering based rough se...
In this paper we review four fuzzy extensions of the so-called tight pair of covering based rough se...
AbstractThis paper focuses on the generalization of covering-based rough set models via the concept ...
AbstractThis paper focuses on the generalization of covering-based rough set models via the concept ...
Ever since the first hybrid fuzzy rough set model was proposed in the early 1990' s, many researcher...
This paper extends and generalizes the approximations of fuzzy rough sets dealing with fuzzy coverin...
The starting point of the paper is the (well-known) observation that the classical Rough Set Theory ...
Rough sets theory is a powerful tool to deal with uncertainty and incompleteness of knowledge in inf...
Ever since the first hybrid fuzzy rough set model was proposed in the early 1990' s, many researcher...
Rough sets theory is a powerful tool to deal with uncertainty and incompleteness of knowledge in inf...
Abstract. Ever since the first hybrid fuzzy rough set model was pro-posed in the early 1990’s, many ...
AbstractIn this paper, we shall integrate some ideas in terms of concepts in topology. First, we int...
Ever since the first hybrid fuzzy rough set model was pro- posed in the early 1990¿s, many researche...
This work was partially supported by the Spanish Ministry of Science and Technology under Project TI...
This paper presents a general frameworkfor the study of rough set approximation operators in fuzzy e...
In this paper we review four fuzzy extensions of the so-called tight pair of covering based rough se...
In this paper we review four fuzzy extensions of the so-called tight pair of covering based rough se...
AbstractThis paper focuses on the generalization of covering-based rough set models via the concept ...
AbstractThis paper focuses on the generalization of covering-based rough set models via the concept ...
Ever since the first hybrid fuzzy rough set model was proposed in the early 1990' s, many researcher...
This paper extends and generalizes the approximations of fuzzy rough sets dealing with fuzzy coverin...
The starting point of the paper is the (well-known) observation that the classical Rough Set Theory ...
Rough sets theory is a powerful tool to deal with uncertainty and incompleteness of knowledge in inf...
Ever since the first hybrid fuzzy rough set model was proposed in the early 1990' s, many researcher...
Rough sets theory is a powerful tool to deal with uncertainty and incompleteness of knowledge in inf...
Abstract. Ever since the first hybrid fuzzy rough set model was pro-posed in the early 1990’s, many ...
AbstractIn this paper, we shall integrate some ideas in terms of concepts in topology. First, we int...
Ever since the first hybrid fuzzy rough set model was pro- posed in the early 1990¿s, many researche...
This work was partially supported by the Spanish Ministry of Science and Technology under Project TI...
This paper presents a general frameworkfor the study of rough set approximation operators in fuzzy e...