AbstractMedical science is not an exact science in which processes can be easily analyzed and modeled. Rough set theory has proven well suited for accommodating such inexactness of the medical profession. As rough set theory matures and its theoretical perspective is extended, the theory has been also followed by development of innovative rough sets systems as a result of this maturation. Unique concerns in medical sciences as well as the need of integrated rough sets systems are discussed. We present a short survey of ongoing research and a case study on integrating rough set theory and medical application. Issues in the current state of rough sets in advancing medical technology and some of its challenges are also highlighted
Fuzzy set theory was presented for the first time by Professor Lotfi A. Zadeh from Berkeley Universi...
Rough sets are efficient for attribute reduction and in extracting rules in data mining. There are m...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
Rough set theory is based on the establishment of equivalence classes within the given training data...
This thesis examines how discernibility-based methods can be equipped to posses several qualities th...
Rough sets is a fairly new and promising technique for data mining and knowledge discovery from data...
Data mining techniques can be applied in the area of Software Engineering for getting improved resul...
AbstractIn the performance of data mining and knowledge discovery activities, rough set theory has b...
The rough set theory has been used to analyse medical experience with urolithiasis patients treated ...
Abstract- Rough set theory has emerged as a useful mathematical tool to extract conclusions or decis...
Medical Decision Support Systems (MDSSs) are sophisticated, intelligent systems that can provide inf...
This thesis examines how discernibility-based methods can be equipped to posses several qualities th...
Abstract—This paper presents a review of the current liter-ature on rough set and near set-based app...
Recently, rough set theory developed by Pawlak [17] has become a popular mathematical framework for ...
Abstract. This paper proposes methods for modeling the content of medical images to help physicians ...
Fuzzy set theory was presented for the first time by Professor Lotfi A. Zadeh from Berkeley Universi...
Rough sets are efficient for attribute reduction and in extracting rules in data mining. There are m...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
Rough set theory is based on the establishment of equivalence classes within the given training data...
This thesis examines how discernibility-based methods can be equipped to posses several qualities th...
Rough sets is a fairly new and promising technique for data mining and knowledge discovery from data...
Data mining techniques can be applied in the area of Software Engineering for getting improved resul...
AbstractIn the performance of data mining and knowledge discovery activities, rough set theory has b...
The rough set theory has been used to analyse medical experience with urolithiasis patients treated ...
Abstract- Rough set theory has emerged as a useful mathematical tool to extract conclusions or decis...
Medical Decision Support Systems (MDSSs) are sophisticated, intelligent systems that can provide inf...
This thesis examines how discernibility-based methods can be equipped to posses several qualities th...
Abstract—This paper presents a review of the current liter-ature on rough set and near set-based app...
Recently, rough set theory developed by Pawlak [17] has become a popular mathematical framework for ...
Abstract. This paper proposes methods for modeling the content of medical images to help physicians ...
Fuzzy set theory was presented for the first time by Professor Lotfi A. Zadeh from Berkeley Universi...
Rough sets are efficient for attribute reduction and in extracting rules in data mining. There are m...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...