Recently, rough set theory developed by Pawlak [17] has become a popular mathematical framework for pattern recognition, image processing, feature selection, neuro computing, conflict analysis, decision support, data mining and knowledge discovery process from large data sets [1,16,20–23]. As applications of rough set theory in decision problems, a number of reduct techniques have been proposed in the last 20 years for infor
Rough set theory (RST) offers an interesting and novel approach both to the generation of rules for ...
Data mining techniques can be applied in the area of Software Engineering for getting improved resul...
This work is about the possibilities of using new approaches and technologies in process of data min...
Rough set theory is a new mathematical approach to data analysis. The rough set ap-proach seems to b...
Rough set theory (RST), since its introduction in Pawlak (1982), continues to develop as an effectiv...
Rough set theory is a new mathematical approach to vagueness and uncertainty. The theory has found m...
Abstract- Rough set theory has emerged as a useful mathematical tool to extract conclusions or decis...
This paper proposes a new data mining methodology of reasoning for sorting new cases by using past c...
Nowadays the amount of data has been huge andto extract useful information is too difficult. By the ...
Abstract- Rough set theory provides a useful mathematical concept to draw useful decisions from real...
Abstract: In recent years we witness a rapid growth of interest in rough set theory and its applicat...
Abstract: The rough set theory, which originated in the early 1980s, provides an alternative approac...
Machine Learning techniques can be used to improve the performance of intelligent software systems. ...
In this paper rudiments of the theory will be outlined, and basic concepts of the theory will be ill...
Nowadays rate of growth of data from various applications of resources is increasing exponentially. ...
Rough set theory (RST) offers an interesting and novel approach both to the generation of rules for ...
Data mining techniques can be applied in the area of Software Engineering for getting improved resul...
This work is about the possibilities of using new approaches and technologies in process of data min...
Rough set theory is a new mathematical approach to data analysis. The rough set ap-proach seems to b...
Rough set theory (RST), since its introduction in Pawlak (1982), continues to develop as an effectiv...
Rough set theory is a new mathematical approach to vagueness and uncertainty. The theory has found m...
Abstract- Rough set theory has emerged as a useful mathematical tool to extract conclusions or decis...
This paper proposes a new data mining methodology of reasoning for sorting new cases by using past c...
Nowadays the amount of data has been huge andto extract useful information is too difficult. By the ...
Abstract- Rough set theory provides a useful mathematical concept to draw useful decisions from real...
Abstract: In recent years we witness a rapid growth of interest in rough set theory and its applicat...
Abstract: The rough set theory, which originated in the early 1980s, provides an alternative approac...
Machine Learning techniques can be used to improve the performance of intelligent software systems. ...
In this paper rudiments of the theory will be outlined, and basic concepts of the theory will be ill...
Nowadays rate of growth of data from various applications of resources is increasing exponentially. ...
Rough set theory (RST) offers an interesting and novel approach both to the generation of rules for ...
Data mining techniques can be applied in the area of Software Engineering for getting improved resul...
This work is about the possibilities of using new approaches and technologies in process of data min...