Add to ORKGAbstract- Most granulation methods did not go deep in using topological structure. In this work we aim to use general topological structures as tools for approximation space in information systems. General relations to get granules that form subbase for topology. This topology is applied for obtaining lower and upper approximation. The suggested topological structure opens up the way for applying rich amount of topological facts and methods in the process of granular computing. Index Terms- Rough set, topology, an
AbstractAn approximation space is a key concept in rough set theory, which plays an important role t...
AbstractThe original rough set model was developed by Pawlak, which is mainly concerned with the app...
An approximation space is a key concept in rough set theory, which plays an important role to approx...
Abstract- Most granulation methods did not go deep in using topological structure. In this work we a...
AbstractIn this work we aim to use general topological structures as tools for near approximation sp...
Granulation of a universe involves grouping of similar elements into granules. With granulated views...
Abstract—Data granulation is considered a good tool of decision making in various types of real life...
AbstractGranulation of a universe involves grouping of similar elements into granules. With granulat...
Abstract-The primary goal of this paper is to develop knowledge approximations and representations o...
AbstractRough set theory is a powerful mathematical tool for dealing with inexact, uncertain or vagu...
AbstractThe topology induced by binary relations is used to generalize the basic rough set concepts....
Rough set theory is a powerful tool for dealing with uncertainty, granularity, and incompleteness of...
This paper can be viewed as a generalization of Pawlak approximation space using general topological...
ABSTRACT. In solving mathematical equations, it is often sufficient to find approximate solutions; i...
The rough set principle was proposed as a methodology to cope with vagueness or uncertainty of data ...
AbstractAn approximation space is a key concept in rough set theory, which plays an important role t...
AbstractThe original rough set model was developed by Pawlak, which is mainly concerned with the app...
An approximation space is a key concept in rough set theory, which plays an important role to approx...
Abstract- Most granulation methods did not go deep in using topological structure. In this work we a...
AbstractIn this work we aim to use general topological structures as tools for near approximation sp...
Granulation of a universe involves grouping of similar elements into granules. With granulated views...
Abstract—Data granulation is considered a good tool of decision making in various types of real life...
AbstractGranulation of a universe involves grouping of similar elements into granules. With granulat...
Abstract-The primary goal of this paper is to develop knowledge approximations and representations o...
AbstractRough set theory is a powerful mathematical tool for dealing with inexact, uncertain or vagu...
AbstractThe topology induced by binary relations is used to generalize the basic rough set concepts....
Rough set theory is a powerful tool for dealing with uncertainty, granularity, and incompleteness of...
This paper can be viewed as a generalization of Pawlak approximation space using general topological...
ABSTRACT. In solving mathematical equations, it is often sufficient to find approximate solutions; i...
The rough set principle was proposed as a methodology to cope with vagueness or uncertainty of data ...
AbstractAn approximation space is a key concept in rough set theory, which plays an important role t...
AbstractThe original rough set model was developed by Pawlak, which is mainly concerned with the app...
An approximation space is a key concept in rough set theory, which plays an important role to approx...