Нечітка логіка як модель прийняття рішень в умовах невизначеності

Abstract

This paper explores fuzzy logic as a robust mathematical framework for decision-making under uncertainty, focusing on the formalization of qualitative expert judgment. By analyzing applications in industry, energy, and explainable AI, the study substantiates the role of fuzzy modeling in developing transparent and adaptive systems. Special emphasis is placed on bridging the inherent gap between rigid binary computation and the nuanced cognitive processes of human reasoning. The author concludes that fuzzy logic serves as a transformative scientific paradigm, effectively harmonizing rapid technological progress with ethical and human-centric values.