z-logo
open-access-imgOpen Access
Structured Query Language (SQL) Answering Model for User Queries based on Intuitionistic Fuzzy Logic
Author(s) -
Ashit Kumar
Publication year - 2015
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2015906821
Subject(s) - computer science , sql , information retrieval , query language , query by example , fuzzy logic , sql server , programming language , language integrated query , database , artificial intelligence , web search query , search engine
Instuitionistic fuzzy logic is widely accepted method to analyse the imprecise and vague data. There are number of database management systems (DBMS) are available to facilitate the users to store and organize the data for the future purpose. DBMS lacks to understand the user queries in distributed environment. Sql is a popular querying language to fetch data depend upon the user queries. The structure of the sql query is designed for precise queries from the user but it will return error for vague queries. As the business extends from one part of the world to the other language should be a barrier for the non English speakers. The research is to find the solution for the problems exist in the sql to translate the user queries. The proposed model will answer all kind of user queries and tries solve the vagueness problem using fuzzy logic. General Terms Intutionistic fuzzy, Sql, Distributed Database, Query optimization.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom