Enhancing IoT Efficiency: The Role of Fuzzy Logic in Smart Decision Making
Rahib Imamguluyev, Jamala Nabiyeva, Tunzala Imanova, Rena Mikayilova, Niyar Umarova, Tarlan Abdullayev
Abstract
The burgeoning landscape of the Internet of Things (IoT) has ushered in a paradigm shift, demanding smarter decision-making processes within interconnected systems. This article delves into the pivotal role of fuzzy logic in augmenting IoT efficiency by empowering devices with adaptive and nuanced decision-making capabilities. Fuzzy logic, renowned for its ability to navigate uncertainties and imprecise data, emerges as a beacon of intelligence within the IoT framework. Through an exploration of case studies and theoretical frameworks, this article illuminates how the integration of fuzzy logic algorithms enables IoT devices to make contextually informed decisions, optimizing resource allocation, and enhancing overall system performance. The article underscores the significance of this synergy, illustrating how fuzzy logic contributes to the evolution of smarter, more responsive IoT ecosystems, poised to navigate the complexities of modern interconnected environments.