Abstract

We already know that Structured Query Language (SQL) is a very powerful tool. It handles data, which is crisp and precise in nature.but it is unable to satisfy the needs for data which is uncertain, imprecise, inapplicable and vague in nature. The goal of this work is to use Fuzzy techniques i.e linguistic expressions and degrees of truth whose result are presented in this paper. For this purpose we have developed the fuzzy generalized logical condition for the WHERE part of SQL. In this way, fuzzy queries are accessing relational databases in the same way as with SQL. These queries with linguistic hedges are converted into Crisp Query, by deploying an application layer over the Structured Query Language

How to Cite
AMIT GARG, DR. RAHUL RISHI, Dr.. Querying Capability Enhancement in Database Using Fuzzy Logic. Global Journal of Computer Science and Technology, [S.l.], mar. 2012. ISSN 0975-4172. Available at: <https://computerresearch.org/index.php/computer/article/view/477>. Date accessed: 18 jan. 2021.