Information provided by database management systems is frequently used as an input to decision making and problem solving in uncertain circumstances. Accordingly, an intelligent database which has uncertain knowledge processing reflects the user's perception of real world requirements. This paper aims to describe a theoretical basis of an intelligent database which is able to represent, manipulate and reason with uncertainty in actual life. The model called Uncertain Relational Database (URD), a generalised relational database model, is formalised by means of logic theories based on a two-sorted first-order probabilistic language in order to have a solid, powerful and unifying retrieval mechanism.
展开▼
