A SYSTEMATIC REVIEW OF FUZZY DATABASE APPROACHES AND ITS STATE OF THE ART

Abstract

This paper addresses two important areas of databases. First, the fuzzy database approach was examined and the current state of fuzzy databases was also discussed in depth. The fuzzy database approach is examined in terms of: the need for fuzzy databases, the techniques used to store and retrieve fuzzy data in fuzzy databases and information retrieval systems, database frameworks for fuzzy databases and the fuzzy database approach for information retrieval systems. The advantages of using object-oriented database frameworks are described. A prototype fuzzy object-oriented database system (FOODS) is developed to demonstrate the feasibility of a fuzzy object-oriented database system. We know that most real-world data is fuzzy, imprecise and incomplete, and that conventional relational databases therefore lack the capacity to integrate and manage it, we then need a thorough knowledge of the state of the art of fuzzy logic to understand it. To managing these imprecise, ambiguous and incomplete data, particularly in multi-criteria decision making, we need fuzzy sets and fuzzy logic to extend the classical relational database model, and they serve as a functional means of support to handling these anomalies and that is achieved by fuzzy database model. This discussion of the state of the art of fuzzy database models is therefore a review and condensation of the various approaches adopted by different authors to integrate precise and incomplete data. The limitations and possible improvements of the models have been taken into account.