𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Fuzzy identification in fuzzy databases: The nuanced relational division

✍ Scribed by Noureddine Mouaddib

Publisher
John Wiley and Sons
Year
1994
Tongue
English
Weight
600 KB
Volume
9
Category
Article
ISSN
0884-8173

No coin nor oath required. For personal study only.

✦ Synopsis

In the present article we review the main research works in fuzzy databases; propose an extension of relation division operator to fuzzy databases; provide a model for fuzzy information and resolve the identification problem in fuzzy databases. For this, three notions are relevant: (a) the concept of nuanced information for representing fuzzy values and the associated nuance, (b) the nuanced division operator, (c) the possibility of weighting attributes in order to express data and query pertinence and trust. We then show how to resolve the problem of fuzzy identification with the nuanced division operator.O 1994 John Wiley & Sons, Inc.

πŸ“œ SIMILAR VOLUMES

Relaxing the universal quantifier of the
Relaxing the universal quantifier of the division in fuzzy relational databases
✍ JosΓ© Galindo; Juan M. Medina; Juan C. Cubero; M. Teresa GarcΓ­a πŸ“‚ Article πŸ“… 2001 πŸ› John Wiley and Sons 🌐 English βš– 207 KB

## Ín a previous paper, we presented an approach to calculate relational division in fuzzy databases, starting with the GEFRED model. This work centered on dealing with fuzzy attributes and fuzzy values and only the universal quantifier was taken into account since it is the inherent quantifier in

Unacceptable components in fuzzy relatio
Unacceptable components in fuzzy relational databases
✍ Michinori Nakata πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 850 KB

The existence of unacceptable components, which consist of unacceptable tuples and elements in attribute values, is shown in fuzzy relational databases. The unacceptable components are created by update operations, insertion, deletion, and modification. An unacceptable tuple in a relation is a tuple

Handling fuzzy information in extended p
Handling fuzzy information in extended possibility-based fuzzy relational databases
✍ Z. M. Ma; F. Mili πŸ“‚ Article πŸ“… 2002 πŸ› John Wiley and Sons 🌐 English βš– 111 KB

Two kinds of fuzziness in attribute values of the fuzzy relational databases can be distinguished: One is that attribute values are possibility distributions, and the other is that there are resemblance relations in attribute domains. The fuzzy relational databases containing these two kinds of fuzz

A new definition of fuzzy functional dep
A new definition of fuzzy functional dependency in fuzzy relational databases
✍ J. C. Cubero; M. A. Vila πŸ“‚ Article πŸ“… 1994 πŸ› John Wiley and Sons 🌐 English βš– 418 KB

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.1 between attributes of a relation scheme. We review other approaches to this problem an