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A new definition of fuzzy functional dependency in fuzzy relational databases
Author(s) -
Cubero J. C.,
Vila M. A.
Publication year - 1994
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.4550090504
Subject(s) - extension (predicate logic) , axiom , fuzzy logic , functional dependency , completeness (order theory) , dependency theory (database theory) , computer science , dependency (uml) , fuzzy set , relational database , relation (database) , data mining , fuzzy set operations , set (abstract data type) , relational model , type 2 fuzzy sets and systems , fuzzy classification , mathematics , theoretical computer science , artificial intelligence , programming language , mathematical analysis , geometry
The need to incorporate and treat information given in fuzzy terms in Relational Databases has concentrated a great effort in the last years. This article focuses on the treatment of functional dependencies (f.d.) between attributes of a relation scheme. We review other approaches to this problem and present some of its missfunctions concerning intuitive properties a fuzzy extension of f.d. should verify. Then we introduce a fuzzy extension of this concept to overcome the previous anomalous behaviors and study its properties. of primary interest is the completeness of our fuzzy version of Armstrong axioms in order to derive all the fuzzy functional dependencies logically implied by a set of f.f.d. just using these axioms. © 1994 John Wiley & Sons, Inc.