AbstractIn this paper, we introduce new generalizations concepts of lower and upper approximations of Pawlak rough sets by using two topological structures (bitopologies). Also, we study the concept of the generalized topological rough set and some of their basic properties. Applications for data reduction are done on medical data
AbstractIn this paper, we generalized the notions of rough set concepts using two topological struct...
In this paper, we introduce the notions of generalized upper (lower) approximations, generalized upp...
A rough set is a formal approximation of a crisp set which gives lower and upper approximation of or...
In this paper, we purposed further study on rough functions and introduced some concepts based on it...
This paper can be viewed as a generalization of Pawlak approximation space using general topological...
AbstractThe original rough set model was developed by Pawlak, which is mainly concerned with the app...
AbstractThe main goal of this paper is to initiate and study many different approaches to rough set ...
The rough set principle was proposed as a methodology to cope with vagueness or uncertainty of data ...
Rough sets are efficient for attribute reduction and in extracting rules in data mining. There are m...
Abstract. A rough set is a formal approximation of a crisp set which gives lower and upper approxima...
Rough set philosophy is a significant methodology in the knowledge discovery of databases. In the pr...
AbstractRough set theory is a powerful mathematical tool for dealing with inexact, uncertain or vagu...
Part 3: Biometrics and Biometrics ApplicationsInternational audienceComputer aided medical diagnosis...
Functions are a means to link or transport from a world to another world may be similarly or complet...
Rough set theory is a powerful tool for dealing with uncertainty, granularity, and incompleteness of...
AbstractIn this paper, we generalized the notions of rough set concepts using two topological struct...
In this paper, we introduce the notions of generalized upper (lower) approximations, generalized upp...
A rough set is a formal approximation of a crisp set which gives lower and upper approximation of or...
In this paper, we purposed further study on rough functions and introduced some concepts based on it...
This paper can be viewed as a generalization of Pawlak approximation space using general topological...
AbstractThe original rough set model was developed by Pawlak, which is mainly concerned with the app...
AbstractThe main goal of this paper is to initiate and study many different approaches to rough set ...
The rough set principle was proposed as a methodology to cope with vagueness or uncertainty of data ...
Rough sets are efficient for attribute reduction and in extracting rules in data mining. There are m...
Abstract. A rough set is a formal approximation of a crisp set which gives lower and upper approxima...
Rough set philosophy is a significant methodology in the knowledge discovery of databases. In the pr...
AbstractRough set theory is a powerful mathematical tool for dealing with inexact, uncertain or vagu...
Part 3: Biometrics and Biometrics ApplicationsInternational audienceComputer aided medical diagnosis...
Functions are a means to link or transport from a world to another world may be similarly or complet...
Rough set theory is a powerful tool for dealing with uncertainty, granularity, and incompleteness of...
AbstractIn this paper, we generalized the notions of rough set concepts using two topological struct...
In this paper, we introduce the notions of generalized upper (lower) approximations, generalized upp...
A rough set is a formal approximation of a crisp set which gives lower and upper approximation of or...
DOI
Add to ORKG