A fuzzy query evaluation technique for relational databases

The current querying process in Structured Query Language (SQL) is inflexible and rigid. It is based solely on text matching process between the query text and the available index texts in the database and this led to frequent frustration among the users. Therefore, providing some flexibility to SQL...

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Main Author:	Nadia Mat Amin
Format:	Thesis
Language:	English
Subjects:	QA 76.9 .D3 N3 2009 Nadia Mat Amin Tesis FST 2009 Relational databases Fuzzy relational calculus
Online Access:	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1035/2/QA%2076.9%20.D3%20N3%202009%20FullText.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1035/1/QA%2076.9%20.D3%20N3%202009%20Abstract.pdf
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id	my-umt-ir.-1035
record_format	uketd_dc
spelling	my-umt-ir.-10352016-03-11T22:40:01Z A fuzzy query evaluation technique for relational databases Nadia Mat Amin The current querying process in Structured Query Language (SQL) is inflexible and rigid. It is based solely on text matching process between the query text and the available index texts in the database and this led to frequent frustration among the users. Therefore, providing some flexibility to SQL can help users to improve their interaction with the system. This research presents a new way of querying color from a relational database, based on the fuzzy logic technique and a-cut operation, and by using the approach of generalization of strategies for fuzzy query translation in relational databases. Fakulti Sains dan Teknologi 2009-10 Thesis en http://hdl.handle.net/123456789/1035 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1035/2/QA%2076.9%20.D3%20N3%202009%20FullText.pdf b998c4c8f111447b5494146421a92cc6 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1035/1/QA%2076.9%20.D3%20N3%202009%20Abstract.pdf b5c371a4db3914a867fa7d8cf54fd1df http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1035/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1035/4/QA%2076.9%20.D3%20N3%202009%20Abstract.pdf.txt 2068fd50cc5be6c9262ca2efb61e2a92 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1035/5/QA%2076.9%20.D3%20N3%202009%20FullText.pdf.txt dd05dc75cd63fca8e9719d05be428a77 QA 76.9 .D3 N3 2009 Nadia Mat Amin Tesis FST 2009 Relational databases Fuzzy relational calculus
institution	Universiti Malaysia Terengganu
collection	UMT Repository System
language	English
topic	QA 76.9 .D3 N3 2009 Nadia Mat Amin Tesis FST 2009 Relational databases Fuzzy relational calculus
spellingShingle	QA 76.9 .D3 N3 2009 Nadia Mat Amin Tesis FST 2009 Relational databases Fuzzy relational calculus Nadia Mat Amin A fuzzy query evaluation technique for relational databases
description	The current querying process in Structured Query Language (SQL) is inflexible and rigid. It is based solely on text matching process between the query text and the available index texts in the database and this led to frequent frustration among the users. Therefore, providing some flexibility to SQL can help users to improve their interaction with the system. This research presents a new way of querying color from a relational database, based on the fuzzy logic technique and a-cut operation, and by using the approach of generalization of strategies for fuzzy query translation in relational databases.
format	Thesis
author	Nadia Mat Amin
author_facet	Nadia Mat Amin
author_sort	Nadia Mat Amin
title	A fuzzy query evaluation technique for relational databases
title_short	A fuzzy query evaluation technique for relational databases
title_full	A fuzzy query evaluation technique for relational databases
title_fullStr	A fuzzy query evaluation technique for relational databases
title_full_unstemmed	A fuzzy query evaluation technique for relational databases
title_sort	fuzzy query evaluation technique for relational databases
granting_institution	Fakulti Sains dan Teknologi
url	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1035/2/QA%2076.9%20.D3%20N3%202009%20FullText.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/1035/1/QA%2076.9%20.D3%20N3%202009%20Abstract.pdf
_version_	1747835764835614720

A fuzzy query evaluation technique for relational databases

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