This paper concerns the modeling of imprecision, vagueness, and uncertainty in databases through an extension of the relational model of data: the fuzzy rough relational database, an approach which uses both fuzzy set and rough set theories for knowledge representation of imprecise data in a relatio
FREDDI: A fuzzy RElational deductive database interface
โ Scribed by J. M. Medina; O. Pons; J. C. Cubero; M. A. Vila
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 144 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0884-8173
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โฆ Synopsis
This paper shows an architecture for Deductive Fuzzy RDBMS which integrates two approaches of fuzzy databases: the relational and the logical ones. It uses the first one to represent and manipulate imprecise information and the second one to obtain intensional information. Besides, it shows how it is possible to use the resources offered by a conventional RDBMS together with a deduction module to build a complete DFRDBMS capable of handling queries of imprecise and/or deductive nature. This task is carried out using an extension of SQL language.
๐ SIMILAR VOLUMES
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