Fuzzy Logic Systems for Uncertain Environments: Examining fuzzy logic systems and their ability to handle uncertainty in complex environments in AI applications

Abstract

Fuzzy logic systems provide a valuable approach for handling uncertainty in complex environments within AI applications. This paper explores the principles, methods, and applications of fuzzy logic systems in uncertain environments, focusing on their ability to model and reason in imprecise and uncertain conditions. We discuss the foundations of fuzzy logic, including fuzzy sets, fuzzy rules, and fuzzy inference systems, and their role in capturing and processing uncertain information. The paper also examines various applications of fuzzy logic systems in different domains, highlighting their effectiveness in dealing with uncertainty and imprecision. Additionally, we discuss challenges and future directions in the use of fuzzy logic systems for handling uncertainty in AI applications.