TY - JOUR AU - Nguyen, Hoa PY - 2020/06/30 Y2 - 2024/03/29 TI - A Hybrid Relational Database Model for Uncertain and Imprecise Information JF - Asian Journal of Computer and Information Systems JA - AJCIS VL - 8 IS - 3 SE - Articles DO - 10.24203/ajcis.v8i3.6178 UR - https://www.ajouronline.com/index.php/AJCIS/article/view/6178 SP - AB - <p><strong><em>Recent years, many fuzzy or probabilistic database models have been built for representing and handling imprecise or uncertain information of objects in real-world applications. However, relational database models combining the relevance and strength of both fuzzy set and probability theories have rarely been proposed. This paper introduces a new relational database model, as a hybrid one combining consistently fuzzy set theory and probability theory for modeling and manipulating uncertain and imprecise information, where the uncertainty and imprecision of a relational attribute value are represented by a fuzzy probabilistic triple, the computation and combination of relational attribute values are implemented by using the probabilistic interpretation of binary relations on fuzzy sets</em>, <em>and the </em><em>elimination of redundant data is dealt with by coalescing e-equivalent tuples. The basic concepts of the classical relational database model are extended in this new model. Then the relational algebraic operations are formally defined accordingly. A set of the properties of the relational algebraic operations is also formulated and proven.</em></strong></p> ER -