FSQL VERSUS SQLF
1
Author(s):
SUBITA KUMARI
Vol - 4, Issue- 3 ,
Page(s) : 397 - 405
(2013 )
DOI : https://doi.org/10.32804/IRJMST
Abstract
In order to give greater flexibility to Relational Daba Base Management Systems (RDBMS), different languages and modes have been conceived with the incorporation of fuzzy logic concepts into information treatment. Two outstanding proposals in fuzzy logic application to databases are those of FSQL and SQLf. Actually, FSQL and SQLf are the main fuzzy logic based proposed extensions to SQL. It is very interesting to integrate them with a standard for fuzzy databases. The issue is what to take from one or other proposal. In this paper, we analyze FSQL and SQLf making a comparison in several ways: approach direction, fuzzy components, system architecture, satisfaction degree, evaluation mechanisms, and experimental performance. We observe that there are powerful and interesting features in both proposals that could be mixed in a unified language for fuzzy relational databases.
Keywords: SQL , FSQL , SQLf, RDBMS.
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