Abstract
Article history: Received October 1, 2011 Received in Revised form November, 14, 2011 Accepted 25 February 2012 Available online 8 March 2012 The fuzzy object oriented database model is often used to handle the existing imprecise and complicated objects for many real-world applications. The main focus of this paper is on fuzzy queries and tries to analyze a complicated and complex query to get more meaningful and closer responses. The method permits the user to provide the possibility of allocating the weight to various parts of the query, which makes it easier to follow better goals and return the target objects. © 2012 Growing Science Ltd. All rights reserved.
Highlights
The Entrance of object orienting concept in databases caused the relation database gradually to replace with object oriented database in various fields
Since object oriented database has not been able to support existing non-definite data for the real-world applications, fuzzy concepts have recently been added to these databases to let us have a kind of contact with a set of fuzzy objects through object oriented fuzzy databases (Ma et al, 2004)
We propose a fuzzy grammar in SQL to increase the accuracy in fuzzy queries
Summary
The Entrance of object orienting concept in databases caused the relation database gradually to replace with object oriented database in various fields. Haroonabadi and Teshnelab (Haroonabadi, & Teshnelab, 2008; Haroonabadi & Teshnelab, 2009) laid out fuzzy-UML to model the existing non-definite (uncertainly) in the information systems. We propose a fuzzy grammar in SQL to increase the accuracy in fuzzy queries. Through applying this approach, a complicated fuzzy query can be handled and objects near to the user’s request will be returned, more . The technique is applied to some test data and concluding remarks are given in the last to summarize the contribution of the paper
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