Towards Fuzzy and Probabilistic Object Bases
Database systems have evolved from relational databases to those integrating different modelling and computing paradigms, in particular object orientation and probabilistic reasoning. This paper is the first step to extend the probabilistic object base model by Eiter et al. with fuzzy sets for representing and handling vague and imprecise values of object attributes. A probabilistic interpretation of relations on fuzzy set values is proposed to integrate them into that probability-based framework. Then the definitions of schemas, instances, and selection operation for fuzzy-probabilistic object bases are presented.