Boolean algebra and fuzzy logic serve as foundational concepts in the fields of computer science, electrical engineering, and mathematics, providing critical frameworks for digital systems and decision-making processes. This paper explores the characteristics of fuzzy membership functions that form Boolean algebra, delving into the nuanced interplay between classical Boolean logic and the flexible, gradational nature of fuzzy sets. By examining the properties and operations of fuzzy membership functions, this research highlights the conditions under which they adhere to the principles of Boolean algebra and discusses their implications for computational applications.