Article history: Received 16 November 2013 Received in revised form 10 July 2014 Accepted 11 July 2014 Available online 17 July 2014

Medical 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 concer...

Rough set data analysis is one of the main application techniques arising from rough set theory. In this paper we introduce a concept of inclusion degree into rough set theory and establish several important relationships between the inclusion degree and measures on rough set data analysis. It is shown that the measures on rough set data analysis can be reduced to the inclusion degree. 2002 Pub...

To keep the key idea of rough set and the representation of information in rough set theory, empty representation is processed properly and three new forms of rough approximation sets are defined as a generation of general binary relation based rough set model. Moreover, the properties of approximation operators in these new rough sets are discussed. The relations among them are studied in this...

Article history: Received 15 July 2009 Received in revised form 6 April 2010 Accepted 7 April 2010 Available online 9 April 2010

With the development of aviation industry, a series problems have appeared in and airspace, among which most prominent problem is congestion airspace. Airspace has become major civil China. Especially central eastern regions China, airspace becoming more serious. To better solve congestion, rough set theory Fuzzy C-means (FCM) model are first analyzed. By analyzing temporal spatial characterist...