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Reseach Article

Handling Fuzzy SQL on Crisp databases using Lex-YACC

by Pooja Shah, Tejas Mehta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 4 - Number 2
Year of Publication: 2010
Authors: Pooja Shah, Tejas Mehta
10.5120/805-1145

Pooja Shah, Tejas Mehta . Handling Fuzzy SQL on Crisp databases using Lex-YACC. International Journal of Computer Applications. 4, 2 ( July 2010), 5-8. DOI=10.5120/805-1145

@article{ 10.5120/805-1145,
author = { Pooja Shah, Tejas Mehta },
title = { Handling Fuzzy SQL on Crisp databases using Lex-YACC },
journal = { International Journal of Computer Applications },
issue_date = { July 2010 },
volume = { 4 },
number = { 2 },
month = { July },
year = { 2010 },
issn = { 0975-8887 },
pages = { 5-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume4/number2/805-1145/ },
doi = { 10.5120/805-1145 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:52:00.892355+05:30
%A Pooja Shah
%A Tejas Mehta
%T Handling Fuzzy SQL on Crisp databases using Lex-YACC
%J International Journal of Computer Applications
%@ 0975-8887
%V 4
%N 2
%P 5-8
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Conventional querying language presumes precision and certainty in user queries. But in factual situations the queries may be imprecise and may be desired to result in uncertain outcome. Introducing fuzziness in querying permits the realistic querying on the crisp data. In this paper, we propose the architecture for fuzzy querying along with an experimental implementation of the same. The implementation is using LEX and YACC that facilitate the lexical analysis of fuzzy terms and parsing the fuzzy query respectively. Fuzzy query is interpreted by the parser and the consequent semantic actions are carried out on MySQL database.

References
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy database LEX YACC