This paper puts forward some rough approximations which are motivated from topology. Given a subset R⊆U×U, we can use 8 types of E-neighborhoods to construct approximations of an arbitrary X⊆U on the one hand. On the other hand, we can also construct approximations relying on a topology which is induced by an E-neighborhood. Properties of these approximations and relationships between them are studied. For convenience of use, we also give some useful and easy-to-understand examples and make a comparison between our approximations and those in the published literature
ABSTRACT. In solving mathematical equations, it is often sufficient to find approximate solutions; i...
In this paper, we propose a new covering-based set in which the lower and the upper approximation op...
AbstractRough set theory is a powerful mathematical tool for dealing with inexact, uncertain or vagu...
One of the considerable subjects in mathematics is the study of topology. Deducing topology from arb...
AbstractRough set theory, a mathematical tool to deal with inexact or uncertain knowledge in informa...
In this paper, we present the covering rough sets based on neighborhoods by approximation operations...
The notion of neighborhood systems is abstracted from the geometric notion of “near”, and it is prim...
AbstractRough set theory, a mathematical tool to deal with inexact or uncertain knowledge in informa...
AbstractCovering rough sets are natural extensions of the classical rough sets by relaxing the parti...
Neighborhood based rough sets are important generalizations of the classical rough sets of Pawlak, a...
Neighborhood based rough sets are important generalizations of the classical rough sets of Pawlak, a...
AbstractThe original rough set model was developed by Pawlak, which is mainly concerned with the app...
This paper aims to increase the accuracy measure of the subgraph of a graph and generate new nano to...
In this paper, we purposed further study on rough functions and introduced some concepts based on it...
In the Euclidean TSP with neighborhoods (TSPN), we are given a collection of n regions (neighborhood...
ABSTRACT. In solving mathematical equations, it is often sufficient to find approximate solutions; i...
In this paper, we propose a new covering-based set in which the lower and the upper approximation op...
AbstractRough set theory is a powerful mathematical tool for dealing with inexact, uncertain or vagu...
One of the considerable subjects in mathematics is the study of topology. Deducing topology from arb...
AbstractRough set theory, a mathematical tool to deal with inexact or uncertain knowledge in informa...
In this paper, we present the covering rough sets based on neighborhoods by approximation operations...
The notion of neighborhood systems is abstracted from the geometric notion of “near”, and it is prim...
AbstractRough set theory, a mathematical tool to deal with inexact or uncertain knowledge in informa...
AbstractCovering rough sets are natural extensions of the classical rough sets by relaxing the parti...
Neighborhood based rough sets are important generalizations of the classical rough sets of Pawlak, a...
Neighborhood based rough sets are important generalizations of the classical rough sets of Pawlak, a...
AbstractThe original rough set model was developed by Pawlak, which is mainly concerned with the app...
This paper aims to increase the accuracy measure of the subgraph of a graph and generate new nano to...
In this paper, we purposed further study on rough functions and introduced some concepts based on it...
In the Euclidean TSP with neighborhoods (TSPN), we are given a collection of n regions (neighborhood...
ABSTRACT. In solving mathematical equations, it is often sufficient to find approximate solutions; i...
In this paper, we propose a new covering-based set in which the lower and the upper approximation op...
AbstractRough set theory is a powerful mathematical tool for dealing with inexact, uncertain or vagu...