DocumentCode
1940493
Title
Discovery of fuzzy inclusion dependencies in fuzzy relational databases
Author
Sharma, A.K. ; Goswami, A. ; Gupta, D.K.
Author_Institution
Dept. of Math., Indian Inst. of Technol., Kharagpur, India
Volume
1
fYear
2004
fDate
28 June-1 July 2004
Firstpage
128
Abstract
Inclusion dependencies express subset-relationships between databases and are thus important indicators for redundancies between databases. In the context of database integration, it can help to solve a very common and difficult problem: "discovering redundancies across crisp databases". Inclusion dependencies in crisp databases are well known and some related work can be found in the literature, however, the idea of fuzzy inclusion dependencies in fuzzy relational databases is new that we have introduced in This work and derived the inference rules on such dependencies. An algorithm has also been proposed for the discovery of FIDs that may exist between two given fuzzy relations stored in one or more fuzzy relational databases.
Keywords
computational complexity; data integrity; fuzzy set theory; inference mechanisms; meta data; relational databases; crisp databases; fuzzy inclusion dependencies; fuzzy relation; fuzzy relational databases; inference rules; subset-relationship; Database languages; Fuzzy systems; Inference algorithms; Information management; Mathematics; Redundancy; Relational databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers and Communications, 2004. Proceedings. ISCC 2004. Ninth International Symposium on
Print_ISBN
0-7803-8623-X
Type
conf
DOI
10.1109/ISCC.2004.1358393
Filename
1358393
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