Affiliations: College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao 266061, P. R. China. [email protected] | Qingdao Hismile College, Qingdao, Shandong Province 266100, P. R. China | Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080, P. R. China | College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao 266061, P. R. China
Note: [] This work is supported by the National Natural Science Foundation of China (grant nos. 60802042, 61103246, 61273180), the Shandong Provincial Natural Science Foundation, China (grant nos. ZR2011FQ005, ZR2011FQ026, ZR2010FQ027), and the Project of Shandong Province Higher Educational Science and Technology Program (grant no. J11LG05). Address for correspondence: College of Information Science and Technology, Qingdao University of Science and Technology 99#, Songling Road, Laoshan District, Qingdao, Shandong, 266061, P. R. China.
Abstract: The traditional relational database model (RDM) is not effective for dealing with imprecise and uncertain data as it deals with precise and unambiguous data. Hence, Beaubouef et al. proposed the rough relational database model (RRDM) for the management of uncertainty in relational databases. Beaubouef et al. defined the corresponding rough relational operators in rough relational databases as in ordinary relational databases. And to give an effective measure of uncertainty in rough relational databases, they defined the rough relation entropy. In this paper, we further discuss the issues of relational operations and uncertainty measure in rough relational databases. We give some new definitions for rough relational operators and rough relation entropy in rough relational databases. Furthermore, we discuss the basic properties of rough relational operators and rough relation entropy, as well as the connections between rough relational operators and rough relation entropy.
