A Query Optimization Framework for Fuzzy Relational Databases
Author : S. DeepaVolume 1 No.1 January-June 2012 pp
Abstract
PoojaBhagavat Memorial Mahajana PG Centre, Metagalli, Mysore – 570 016, Karnataka, India
E-mail : [email protected]
(Received on 06 January 2012 and accepted on 15th March 2012)Abstract
Ever since the development of relational model, relational database systems have been extensively studied and several commercial relational database systems are currently available. Relational model usually take care of only well defined data. In order to capture more meaning to the data an extension of the classical relational model called fuzzy relational model was proposed. The key reasons for the success of relational database lies in the power of declarative languages and execution strategies used in query optimization. Estimating the cost of fuzzy query based on system catalog introduces error due to approximation involved and insufficient information at query execution time. So there is need for a query optimization framework that addresses the issues of query execution in fuzzy relational databases. This paper deals with a framework for building fuzzy cost model to obtain a good execution strategy for a query.
Keywords
Query Optimization, Fuzzy Relational Databases, Fuzzy Cost
Full Text:
