Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

Application of fuzzy query based on relation database

Authors
Dongmei Wei1, Liangzhong Yi, Zheng Pei
1School of Mathematics & Computer Engineering, Xihua University
Corresponding Author
Dongmei Wei
Available Online October 2007.
DOI
10.2991/iske.2007.277How to use a DOI?
Keywords
Fuzzy Query, Relation Database, Fuzzy theory, SQL, Microsoft Visual Foxpro
Abstract

The traditional query in relation database is unable to satisfy the needs for dealing with fuzzy linguistic values. In this paper, a new data query technique combined fuzzy theory and SQL is provided, and the query can be implemented for fuzzy linguistic values query via a interface to Microsoft Visual Foxpro. Here, we applied it to an realism instance, questions could be expressed by fuzzy linguistic values such as young, high salary, etc, in Employee relation database. This could be used widely to the others relative fuzzy query based on database.

Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
10.2991/iske.2007.277How to use a DOI?
Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Dongmei Wei
AU  - Liangzhong Yi
AU  - Zheng Pei
PY  - 2007/10
DA  - 2007/10
TI  - Application of fuzzy query based on relation database
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1619
EP  - 1623
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.277
DO  - 10.2991/iske.2007.277
ID  - Wei2007/10
ER  -