An Approach for Augmenting Selection Operators of SQL Queries using Skyline and Fuzzy-Logic Operators

In this work, expressivity two operators fuzzy and skyline is primarily focused upon. Stated two known operators have been used here for augmenting selection operator of SQL. Since SQL is unable to understand linguistic concepts of natural language there is essence of a preference based solution so as to return answers according to user preferences. Both these operators can return a different answer to the same query. Additionally in this paper, performance of fuzzy and skyline processing time and the number of returned answers by means of an experimental study is analyzed.