An Investigation of Fuzzy Logic and Its Applications

Abstract

Lotfi A. Zadeh introduced fuzzy logic in the 1960s, which represents a significant improvement over traditional binary logic in computer science and related applications. Fuzzy logic, in contrast to binary logic, which is predicated on true or false values, allows for reasoning with multiple degrees of truth. It is suitable for modeling uncertain and complex problems where inputs are inherently imprecise due to the fact that its protocols are designed to emulate human thought processes. The backbone of fuzzy systems is composed of fuzzy sets, which are characterized by a defined syntax and semantics. This methodology has demonstrated exceptional utility in the development of systems that are required to adjust to unpredictable or random inputs.