International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

Impact Factor* - 6.2311


**Need Help in Content editing, Data Analysis.

Research Gateway

Adv For Editing Content

   No of Download : 39    Submit Your Rating     Cite This   Download        Certificate

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.

order online

*Contents are provided by Authors of articles. Please contact us if you having any query.






Bank Details