Methodology of transformation of fuzzy queries into queries in the SQL standard
Authors:
- Grzegorz Nowakowski
Abstract
The article presents two approaches to the method of implementation of transformations of fuzzy queries into queries in the SQL standard. This implementation can be carried out: (1) in a database (in the form of functions, procedures, triggers or other acceptable form), using the existing query processing system in the database, and thus it can expand the functionality of that database; (2) in an application (which communicates with the database), and thus a considerable portion of calculations will be transferred from the database to that application. An analysis of those approaches was conducted and it was demonstrated that the presented methods should enjoy extensive practical application.
- Record ID
- CUT04110d48349a43f8af9626b245bbe883
- Publication categories
- ; ;
- Author
- Pages
- 674-679
- Other elements of collation
- tab.; wykr.; Bibliografia (na s.) - 679; Bibliografia (liczba pozycji) - 31; Oznaczenie streszczenia - Abstr.
- Book
- IDAACS' 2019 : proceedings of the 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). Vol. 2, 2019, [Piscataway], Institute of Electrical and Electronics Engineers, IEEE, ISBN 978-1-7281-4069-8 (electronic)
- Keywords in English
- fuzzy logic, fuzzy queries, conversion, transformation, methodology, SQL
- DOI
- DOI:10.1109/IDAACS.2019.8924312 Opening in a new tab
- URL
- https://ieeexplore.ieee.org/document/8924312 Opening in a new tab
- Related project
- Innowacyjne systemy automatyki. . Project leader at PK: , ,
Działalność statutowa - Language
- eng (en) English
- Score (nominal)
- 20
- Publication indicators
- Citation count
- 1
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT04110d48349a43f8af9626b245bbe883/
- URN
urn:pkr-prod:CUT04110d48349a43f8af9626b245bbe883
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.