Fuzzy query processing on relational database systems for targeted advertising

Abstract

The given paper is dedicated to fuzzy queries processing on relational databases. A feature of the work is that a methodology has been developed based on the Theory of Fuzzy Sets and Logic, which allows you to make database queries that are written completely in natural language.
The aim of the project is to develop an effective methodology and application for processing fuzzy queries with the aim of introducing a natural language into the process of setting up targeted advertising using fuzzy logic.
A distinctive advantage of the developed system is that it allows you to make a request in a natural language, without the need to follow the standard rules for querying. In addition, this methodology can easily be integrated into the system from any field in which the target selection may have fuzzy conditions.
As a result, a methodology was created for processing fuzzy requests in a natural language, as well as a system from the field of targeted direct marketing, in which a target selection based on the proposed
method takes place