An Appraisal of the State of Arts in Fuzzy Database Modeling

Most real-world data are vague, imprecise and imperfect. Classical model which includes file system model, the hierarchical model and network model were lacking the ability to integrate and manipulate vague, imprecise and imperfect data. Fuzzy database model uses fuzzy sets and logic to extend the classical relational database model as a functional way of handling fuzziness. This paper appraises state of the arts in fuzzy database model that can handle uncertainty data with emphasis on the Zvieli and Chen entity relation model, Relational model of Chaudhry, Moyne and Rundensteiner, extended relational model of Yacizi and Merdan, extended entity relational model of Chen and Kerre, fuzzy object oriented database model of Ma, Zhang, Ma and Chen. The limitations and possible improvement of the models were considered.