AbstractComputing the core of decision information system and designing efficient relative attribution reduction algorithms are the main research content in rough set theory. After thorough comprehension of the basic concepts of rough set theory, some useful properties based on positive region are found, on this basis, the attribute core is computed by making use of the information of positive region directly. What's more, a computational method of relative reduction is presented. Due to this method has not to calculate discernibility matrix, so as to reduce the cost of time and space, improve the running efficiency of the proposed algorithm. At the same time, theoretical analysis and example analysis illustrate that the efficiency of the p...
Attribute reduction is a popular topic in rough set theory; however, object reduction is not conside...
AbstractAimed to solve the limitation of abundant data to constructing classification modeling in da...
Traditional rough set theory is mainly used to reduce attributes and extract rules in databases in w...
AbstractComputing the core of decision information system and designing efficient relative attributi...
AbstractThe theory of rough set is a new mathematical tool to deal with the uncertain problems, and ...
Abstract—Attribute reduction of information system is one of the most important applications of roug...
The genetic algorithm is used to optimize the algorithm of attribute reduction in data preprocessing...
AbstractThe theory of rough set is a new mathematical tool to deal with the uncertain problems, and ...
Abstract:- Rough sets theory is an effective mathematical tool dealing with vagueness and uncertaint...
AbstractAimed to solve the limitation of abundant data to constructing classification modeling in da...
To reduce the time complexity of attribute reduction algorithm based on discernibility matrix, a sim...
Parallel processing as a method to improve computer performance has become a development trend. Base...
Abstract—Traditional rough set-based approaches to reduct have difficulties in constructing optimal ...
Attribute reduction, as an important preprocessing step for knowledge acquiring in data mining, is o...
In rough set theory, attribute reduction aims to retain the discernability of the original attribute...
Attribute reduction is a popular topic in rough set theory; however, object reduction is not conside...
AbstractAimed to solve the limitation of abundant data to constructing classification modeling in da...
Traditional rough set theory is mainly used to reduce attributes and extract rules in databases in w...
AbstractComputing the core of decision information system and designing efficient relative attributi...
AbstractThe theory of rough set is a new mathematical tool to deal with the uncertain problems, and ...
Abstract—Attribute reduction of information system is one of the most important applications of roug...
The genetic algorithm is used to optimize the algorithm of attribute reduction in data preprocessing...
AbstractThe theory of rough set is a new mathematical tool to deal with the uncertain problems, and ...
Abstract:- Rough sets theory is an effective mathematical tool dealing with vagueness and uncertaint...
AbstractAimed to solve the limitation of abundant data to constructing classification modeling in da...
To reduce the time complexity of attribute reduction algorithm based on discernibility matrix, a sim...
Parallel processing as a method to improve computer performance has become a development trend. Base...
Abstract—Traditional rough set-based approaches to reduct have difficulties in constructing optimal ...
Attribute reduction, as an important preprocessing step for knowledge acquiring in data mining, is o...
In rough set theory, attribute reduction aims to retain the discernability of the original attribute...
Attribute reduction is a popular topic in rough set theory; however, object reduction is not conside...
AbstractAimed to solve the limitation of abundant data to constructing classification modeling in da...
Traditional rough set theory is mainly used to reduce attributes and extract rules in databases in w...