A vague multivalued data dependency
Jaydev Mishra () and
Sharmistha Ghosh ()
Additional contact information
Jaydev Mishra: College of Engineering and Management
Sharmistha Ghosh: Galgotias University
Fuzzy Information and Engineering, 2013, vol. 5, issue 4, 459-473
Abstract:
Abstract The work in this paper is an application of vague set theory in relational databases. It is well known that integrity constraints like functional dependency, multivalued dependency, etc. play a key role in any database design. In the present work, the authors introduce a new definition of vague multivalued dependency(VMVD), called α-VMVD, on the basis of α-equality of tuples as defined in the recent work on vague functional dependency [1] in 2012. Next, the definition has been shown to be consistent and finally a set of sound and complete inference axioms have been designed and verified for the α-VMVD.
Keywords: Vague set; Similarity measure of vague sets; α-equality of vague tuples; Vague functional dependency; Vague multivalued dependency (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s12543-013-0158-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:fuzinf:v:5:y:2013:i:4:d:10.1007_s12543-013-0158-9
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/12543
DOI: 10.1007/s12543-013-0158-9
Access Statistics for this article
More articles in Fuzzy Information and Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().