Fuzzy attributes, whose domain is usually the interval [0,1], although other values are also permitted, such as possibility distributions (usually over this unit interval), which, in turn, may be related to specific linguistic labels (like “a lot,” “normal,” etc.). In order to keep it simple, usually only degrees in the interval [0,1] are used, because the other option offers no great advantages and a greater technical and semantic complexity.
Published in Chapter:
FSQL and SQLf: Towards a Standard in Fuzzy Databases
Angélica Urrutia (Universidad Católica del Maule, Chile), Leonid Tineo (Universidad Simón Bolivar, Venezuela), and Claudia Gonzalez (Universidad Simón Bolivar, Venezuela)
Copyright: © 2008
|Pages: 29
DOI: 10.4018/978-1-59904-853-6.ch011
Abstract
Actually, FSQL and SQLf are the main fuzzy logic based proposed extensions to SQL. It would be very interesting to integrate them with a standard for fuzzy databases. The issue is what to take from one or other proposal. In this chapter, we analyze FSQL and SQLf making a comparison in several ways: approach direction, fuzzy components, system architecture, satisfaction degree, evaluation mechanisms, and experimental performance. We observe that there are powerful and interesting features in both proposals that could be mixed in a unified language for fuzzy relational databases.