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Fuzzy dependencies in crisp databases.
Content Provider | CiteSeerX |
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Author | Pons, Cubero Medina Cubero, J. C. Medina, J. M. Pons, O. Vila, M. A. |
Abstract | In this paper we deal with the problem of applying fuzzy dependencies to relational crisp databases. Our aim is to relax the concept of functional dependency, and introduce fuzzy projection and join operators which lead us to compress the original data appearing in a table of a relational database. This allow us to discover dependencies between attributes in a relation r not detected by classical functional dependencies, and even more, decompose r into two new relations (which are fuzzy projections of r) in such a way that we can recover (in fuzzy terms) through a fuzzy join, the original data appearing in r. Keywords: Fuzzy Dependencies, Fuzzy Projection, Fuzzy Join 1 Preliminaries 1.1 Relational Database Model We shall use capital letters at the beginning of the alphabet to denote single attributes (A; B; : : :). For compound (set of) attributes we shall use letters at the end of the alphabet (X; Y; : : :). The value for an attribute A in a tuple t, will be represented by A(t). R... |
File Format | |
Access Restriction | Open |
Subject Keyword | Fuzzy Dependency Crisp Database Fuzzy Projection Original Data Fuzzy Join Classical Functional Dependency Fuzzy Term Single Attribute New Relation Relational Database Model Capital Letter Relational Database Functional Dependency Join Operator |
Content Type | Text |
Resource Type | Article |