A methodology to improve object oriented database systems with fuzzy types

Authors:
Nicolás Marín;Olga Pons;Ignacio J. Blanco;María Amparo Vila
Affiliations:
Department of Computer Science and Artificial Intelligence, E.T.S.I.I., University of Granada, Avenida de Andalucía, 38, 18071, Granada, Andalusia, Spain;Department of Computer Science and Artificial Intelligence, E.T.S.I.I., University of Granada, Avenida de Andalucía, 38, 18071, Granada, Andalusia, Spain;Department of Computer Science and Artificial Intelligence, E.T.S.I.I., University of Granada, Avenida de Andalucía, 38, 18071, Granada, Andalusia, Spain;Department of Computer Science and Artificial Intelligence, E.T.S.I.I., University of Granada, Avenida de Andalucía, 38, 18071, Granada, Andalusia, Spain
Venue:
Technologies for constructing intelligent systems
Year:
2002

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Abstract

Fuzzy Types are a desirable feature that an Object Oriented Database System (OODB) must have in order to deal with vague structures. This kind of types are defined by means of different levels of precision or amplitude where properties are ordered according to their relationship with the concept represented by the type. The implementation of this new tool can be made building a new layer on an existing OODB, avoiding the development of a whole system which incorporates fuzzy types as an intrinsic characteristic. In this paper, we explain how the typical classes of an OODB can be used in order to represent a fuzzy type. New mechanisms of instantiation and inheritance are also modeled using this approach.