Add to ORKGThere are limitations in recent research undertaken on attribute reduction in incomplete decision systems. In this paper, we propose a distance-based method for attribute reduction in an incomplete decision system. In addition, we prove theoretically that our method is more effective than some other methods
Attribute reduction is a popular topic in rough set theory; however, object reduction is not conside...
Finding reductions from decision tables is one of the main objectives in information processing. Man...
By introducing a novel attribute reduction algorithm based on an extension neighborhood relation, it...
Abstract. There are limitations in recent research undertaken on at-tribute reduction in incomplete ...
A rough set approach for attribute reduction is an important research subject in data mining and mac...
Efficient attribute reduction in large-scale incomplete decision systems is a challenging problem. T...
Data mining concepts and methods can be applied in various fields. Many methods have been proposed ...
AbstractIn rough set theory, attribute reduction is an important mechanism for knowledge discovery. ...
Tolerance rough set model is an effective tool for attribute reduction in incomplete decision tables...
According to whether the underlying information decision system varies with time, methods for attrib...
Abstract—Attribute reduction of information system is one of the most important applications of roug...
Abstract:- Rough sets theory is an effective mathematical tool dealing with vagueness and uncertaint...
Abstract Attribute reduction and reducts are important notions in rough set theory that can preserve...
In recent years, rough set theory has been considered as a strong solution to solve artificial intel...
In this paper, attribute reduction of incomplete information system is studied. Firstly, optimistic ...
Attribute reduction is a popular topic in rough set theory; however, object reduction is not conside...
Finding reductions from decision tables is one of the main objectives in information processing. Man...
By introducing a novel attribute reduction algorithm based on an extension neighborhood relation, it...
Abstract. There are limitations in recent research undertaken on at-tribute reduction in incomplete ...
A rough set approach for attribute reduction is an important research subject in data mining and mac...
Efficient attribute reduction in large-scale incomplete decision systems is a challenging problem. T...
Data mining concepts and methods can be applied in various fields. Many methods have been proposed ...
AbstractIn rough set theory, attribute reduction is an important mechanism for knowledge discovery. ...
Tolerance rough set model is an effective tool for attribute reduction in incomplete decision tables...
According to whether the underlying information decision system varies with time, methods for attrib...
Abstract—Attribute reduction of information system is one of the most important applications of roug...
Abstract:- Rough sets theory is an effective mathematical tool dealing with vagueness and uncertaint...
Abstract Attribute reduction and reducts are important notions in rough set theory that can preserve...
In recent years, rough set theory has been considered as a strong solution to solve artificial intel...
In this paper, attribute reduction of incomplete information system is studied. Firstly, optimistic ...
Attribute reduction is a popular topic in rough set theory; however, object reduction is not conside...
Finding reductions from decision tables is one of the main objectives in information processing. Man...
By introducing a novel attribute reduction algorithm based on an extension neighborhood relation, it...