Fuzzy Logic in Distance Measurement: Comparative Analysis

Abstract

Measuring distance plays a pivotal role across a multitude of domains, such as robotics, automation, and navigation systems. Fuzzy logic has increasingly garnered substantial interest as a means to augment the accuracy and versatility of distance measurement systems. This comprehensive review delves deep into the examination and juxtaposition of diverse techniques for measuring distance by harnessing the power of Fuzzy logic. The primary objective is to meticulously assess the efficacy of Fuzzy logic when contrasted with alternative methodologies and affirm their dominance regarding precision, resilience, and adaptability. Fuzzy logic holds the potential to revolutionize distance measurement technology and contribute to safer and more efficient operations in fields such as robotics, automation, and navigation systems. Future research should focus on fine-tuning fuzzy logic parameters and exploring new applications to further harness their potential. Fuzzy logic outperforms conventional control methods in distance measurement due to their remarkable adaptability, robustness, human-like decision-making capabilities, ease of integration, capacity to handle non-linearity, and real-time adaptability. While traditional methods have their merits, they often struggle to match the versatility and reliability of Fuzzy logic in a world where complex and uncertain environments demand precision and adaptability. As technology continues to evolve and applications become more demanding, Fuzzy logic remains at the forefront of enhancing the accuracy and efficiency of distance measurement systems across various domains. Keywords: Fuzzy Logic, Distance Measurement, Ultrasonic sensors, Non-linearity, Measurement accuracy.