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.
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