Software Tools for the Implementation of Solutions to Management Problems based on Fuzzy Logic

As artificial intelligence primarily processes incoming data, its scope is limited. Therefore, the interaction of artificial intelligence and humans is used to expand the scope of application. Such a partnership allows for solving complex problems and obtaining accurate results. Such problems are currently solved thanks to the experience and intuition of prominent specialists. However, in technical fields, there is a risk of making a serious mistake if the initial conditions and assumptions are not carefully studied. For example, unexpected failures in security systems, unreasonable results in information systems, unbalanced automation systems, and so on all arise because project conditions differ significantly from real conditions. For technical purposes, fuzzy logic is considered in a broad sense. Fuzzy set theory allows solving complex technical problems, such as technical diagnostic problems. Thus, fuzzy relationships allow the establishment of approximate relationships between causes and effects based on expert assessments. Expert assessments of the current technical condition of electrical equipment, carried out on the basis of fuzzy causal relationships of symptoms and defects, can increase the reliability of determining the causes of defects.