Creating the self-learning expert system for solving problems with fuzzy logic

Abstract

There are many different approaches to building expert systems depending on the problem to be solved and the scope. This article includes a review of traditional approaches to building self-learning expert systems with fuzzy logic. The authors propose an alternative approach based on the developed model of the expert system. The article also provides a description of the generation of synthetic tests and a comparative analysis of the author's approach with existing analogues.