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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to: • Information Sciences • Optimization Sciences • Control Theory • Operational Research • Decision Sciences • Information Theory • Information Technology • Computer Networks and Communications • Mathematical Programming • Modelling and Simulation • Database Management • Applications to Engineering Sciences • Applications to Technology

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Open Access Research Article

Characteristics of fuzzy membership functions forming Boolean algebra of logic operation

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pp. 1605–1613Vol. 46Issue 5July 2025DOI: 10.47974/JIOS-1844XML
Received:
10 Jul 2024
Published Online:
01 Jul 2025
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1844
Pages:
1605–1613

Abstract

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.

Keywords

Subject Classifications

03E72

References

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