In this article, fuzzy set theory uses an extension of the classical logical relational database model. A logical fuzzy relational database model was developed with the aim of manipulating imprecise information and adding deduction capabilities to the database system. The essence of this work is the
Fuzzy relations and fuzzy relational databases
β Scribed by Austin Melton; Sujeet Shenoi
- Publisher
- Elsevier Science
- Year
- 1991
- Tongue
- English
- Weight
- 780 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0898-1221
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Until now, the idea of a fuzzy database has been investigated along different lines: Some authors have dealt with the imprecision of attribute values by modeling, using fuzzy similarity relations, the extent to which these values could be regarded as interchangeable. Others have used possibility di
Fuzzy relational database models generalize the classical relational database model by allowing uncertain and imprecise information to be represented and manipulated. In this article, we introduce fuzzy extensions of the normal forms for the similarity-based fuzzy relational database model. Within t
In this article we investigate an attribute-oriented induction approach for acquisition of abstract knowledge from data stored in a fuzzy database environment. We utilize a proximity-based fuzzy database schema as the medium carrying the original information, where lack of precise information about
´´à n this paper we present a definition of a domain relational calculus for fuzzy relational databases using the GEFRED model as a starting point. It is possible to define an equivalent fuzzy tuple relational calculus and consequently we achieve the two query language levels that Codd designed for