Fuzzy Questions for Relational Systems

Abstract

Databases are becoming more and more inevitable for websites and applications that handle large amounts of data, such as bank accounts (games, social networks, videos, etc.). However, they are unable to respond to human-type questions that are generally imprecise, uncertain and vague, and therefore need to be appropriately addressed. Therefore, fuzzy interrogation systems have become indispensable to represent and manage these data, and particularly facilitate the interrogation to a non-expert user. Fuzzy logic provides a powerful tool to take into account various aspects of fuzzy information. In this paper, we present a short study of fuzzy querying relational databases. We start by the design and operation of a fuzzy system and present the different types of architectures of fuzzy question database systems. Lastly, we introduce a comparison of the most pertinent features in fuzzy query systems of databases.