Application of algorithmic procedures of imprecise inference based on fuzzy knowledge to the solution of applied problems

Objective . This article explores the application of fuzzy logic to practical technological problems that require evaluating alternatives and then making a choice. The goal is to develop a methodology for applying a generalized approach to fuzzy inference rules to solving diverse, unrelated problems. Method. The application of algorithmic procedures to a specific range of problems is considered. Result . The following processes are considered: systematic monitoring of learning outcomes with recommendations for modifying learning paths; employee selection upon hiring and identifying professional suitability; determining the quality of finished products at an industrial enterprise to improve competitiveness, etc. This approach makes it possible to apply the same algorithm to describe linguistic uncertainty in various research areas, relying on the use of linguistic variables. Models and methods of fuzzy set theory are tested, and specific tools for describing objects that do not have clear and unambiguous boundaries are presented. Conclusion . The universality of the applied mathematical apparatus for solving multidisciplinary problems is proven.