Flexible data queries
Miroslav Hudec
Acta Informatica Pragensia, 2013, vol. 2013, issue 2, 25-38
Abstract:
The Structured Query Language (SQL) has been established as a standard for querying relational databases. However, users face the problem how to define their requirements for data by the exact query conditions. This work examines advantages of fuzzy queries, which provide a better representation of the user requirements by expressing imprecise conditions through linguistic terms. Further, the paper discusses solving empty and overabundant answer problems, revealing similarities in database entities and applying preferences in query conditions. Finally, paper discusses practical realisations of fuzzy queries.
Keywords: Fuzzy logic; SQL; Benefits of fuzzy queries (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://aip.vse.cz/doi/10.18267/j.aip.21.html (text/html)
http://aip.vse.cz/doi/10.18267/j.aip.21.pdf (application/pdf)
free of charge
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:prg:jnlaip:v:2013:y:2013:i:2:id:21:p:25-38
Ordering information: This journal article can be ordered from
Redakce Acta Informatica Pragensia, Katedra systémové analýzy, Vysoká škola ekonomická v Praze, nám. W. Churchilla 4, 130 67 Praha 3
http://aip.vse.cz
DOI: 10.18267/j.aip.21
Access Statistics for this article
Acta Informatica Pragensia is currently edited by Editorial Office
More articles in Acta Informatica Pragensia from Prague University of Economics and Business Contact information at EDIRC.
Bibliographic data for series maintained by Stanislav Vojir ().