ON AN EXTENSION OF FUZZY AGGREGATE FUNCTIONS FOR DATABASES

Ana Aguilera, Ramon Mata-Toledo2 (), Alberto Subero1, Morgan Monger3 () and Pranshu Gupta4 ()
Additional contact information
Ana Aguilera: Universidad de Carabobo (Valencia, Venezuela)
Ramon Mata-Toledo2: 2 James Madison University (Harrisonburg, Virginia, U.S.A.)
Alberto Subero1: Universidad de Carabobo (Valencia, Venezuela)
Morgan Monger3: Ellucian, Inc. (Fairfax, Virginia, U.S.A.)
Pranshu Gupta4: DeSales University (Center Valley, Pennsylvania, U.S.A.)

Journal of Information Systems & Operations Management, 2013, vol. 7, issue 1, 1-8

Abstract: Today, Fuzzy sets and fuzzy logic are used in many applications areas such as control, instrumentation, resource management, and databases just to name a few. In this paper, the authors present an extension of fuzzy aggregate functions in the context of fuzzy databases. The paper is not intended as a complete examination of relational databases and the SQL language.

Keywords: Fuzzy logic; Fuzzy sets; Aggregate; Fuzzy operator; Fuzzy relations. (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.rebe.rau.ro/RePEc/rau/jisomg/SU13/JISOM-SU13-A1.pdf (application/pdf)

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:rau:jisomg:v:7:y:2013:i:1:p:1-8

Access Statistics for this article

More articles in Journal of Information Systems & Operations Management from Romanian-American University Contact information at EDIRC.
Bibliographic data for series maintained by Alex Tabusca ().