Abstract — Both rough sets theory and vague sets theory are emerging as powerful tool for managing uncertainty, incomplete and imprecise information. An integration between vague sets theory and rough sets theory is developed in this paper. We con-struct the lower and upper approximation operators of a vague set in the universe, which is partitioned by an indiscernibility relation. Furthermore, a parameterized roughness measure of a vague set is given followed by an analysis of its properties
The Rough Set Theory was proposed by Pawlak, in 1982, as a mathematical model to represent knowledge...
AbstractThe main goal of this paper is to initiate and study many different approaches to rough set ...
Abstract- Rough set theory has emerged as a useful mathematical tool to extract conclusions or decis...
The paper proposes a new formal approach to vagueness and vague sets taking inspirations from Pawlak...
Abstract — In this paper we propose that a vague set can be approximated by two vague sets in Pawlak...
AbstractThe combination of the rough set theory, vague set theory and fuzzy set theory is a novel re...
Rough set theory is a new mathematical approach to vagueness and uncertainty. The theory has found m...
AbstractSoft set theory, proposed by Molodtsov, has been regarded as an effective mathematical tool ...
AbstractThis paper presents and compares two views of the theory of rough sets. The operator-oriente...
In the chapter we present rough set theory against the background of recent philosophical discussion...
Rough set theory is a new method that deals with vagueness and uncertainty emphasized in decision ma...
Abstract. New concepts of rough natural number systems are intro-duced in this research paper from b...
Abstract—Rough set theory is a popular and powerful machine learning tool. It is especially suitable...
This unique collection of research papers offers a comprehensive and up-to-date guide to algebraic a...
Not AvailableThe study of databases began with the design of efficient storage and data sharing tech...
The Rough Set Theory was proposed by Pawlak, in 1982, as a mathematical model to represent knowledge...
AbstractThe main goal of this paper is to initiate and study many different approaches to rough set ...
Abstract- Rough set theory has emerged as a useful mathematical tool to extract conclusions or decis...
The paper proposes a new formal approach to vagueness and vague sets taking inspirations from Pawlak...
Abstract — In this paper we propose that a vague set can be approximated by two vague sets in Pawlak...
AbstractThe combination of the rough set theory, vague set theory and fuzzy set theory is a novel re...
Rough set theory is a new mathematical approach to vagueness and uncertainty. The theory has found m...
AbstractSoft set theory, proposed by Molodtsov, has been regarded as an effective mathematical tool ...
AbstractThis paper presents and compares two views of the theory of rough sets. The operator-oriente...
In the chapter we present rough set theory against the background of recent philosophical discussion...
Rough set theory is a new method that deals with vagueness and uncertainty emphasized in decision ma...
Abstract. New concepts of rough natural number systems are intro-duced in this research paper from b...
Abstract—Rough set theory is a popular and powerful machine learning tool. It is especially suitable...
This unique collection of research papers offers a comprehensive and up-to-date guide to algebraic a...
Not AvailableThe study of databases began with the design of efficient storage and data sharing tech...
The Rough Set Theory was proposed by Pawlak, in 1982, as a mathematical model to represent knowledge...
AbstractThe main goal of this paper is to initiate and study many different approaches to rough set ...
Abstract- Rough set theory has emerged as a useful mathematical tool to extract conclusions or decis...