INFORMATICA International Journal Main Page Editorial Board Abstracting/Indexing Instructions to Authors Subscription Information Contents Author Index Papers in Production		INFORMATICA, 2008, Vol. 19, No. 1, 113-134 © Institute of Mathematics and Informatics, ISSN 0868-4952 Vague Rough Set Techniques for Uncertainty Processing in Relational Database Model Karan SINGHa, Samajh Singh THAKURb, Mangi LALc aDepartment of Computers, Central Institute of Agricultural Engineering Nabi Bagh, Berasia Road, Bhopal - 462 038 (M.P.), India E-mail: singhkaran@yahoo.com bDepartment of Applied Mathematics, Government Engineering College Jabalpur (M.P.) - 482 011, India E-mail: samajh_singh@rediffmail.com cDepartment of Computer Science and Mathematics Rani Durgawati Vishwavidyalaya, Jabalpur (M.P.), India Abstract The study of databases began with the design of efficient storage and data sharing techniques for large amount of data. This paper concerns the processing of imprecision and indiscernibility in relational databases using vague rough technique leading to vague rough relational database model. We utilize the notion of indiscernibility and possibility from rough set theory coupled with the idea of membership and non-membership values from vague set theory to represent uncertain information in a manner that maintains the degree of uncertainty of information for each tuple of the original database and also those resulting from queries. Comparisons of theoretical properties of operators within this model with those in the standard relational database model are discussed. A simple entity-relationship type diagram for database design, a database definition language and an SQL-like query language for vague rough relational database model are described. Keywords: vague set, vague rough set, vague rough relational database model To preview Lithuanian abstract see full article text To preview full article text in PDF format click here You could obtain free Acrobat Reader from Adobe
Top		Copyright © INFORMATICA, Vilnius University Institute of Mathematics and Informatics, 2010