Abstract
This study investigates the application of fuzzy logic in modelling physical systems, with a specific focus on a pendulum system as a representative case. We employ a comprehensive methodology that includes the development of fuzzy models, integration with existing physical models, and a combination of simulation and experimental studies. Our findings reveal that fuzzy logic-based models outperform classical deterministic models, particularly when handling uncertainties in initial conditions, damping, and external forces. The adaptability of fuzzy models to uncertainties is a key advantage, making them well-suited for complex and unpredictable physical systems. The integration of fuzzy logic components into existing models enhances modelling accuracy without necessitating major modifications. This research highlights the potential of fuzzy physics in advancing our understanding of complex physical phenomena and calls for further interdisciplinary exploration, robust mathematical formalism development, and philosophical inquiries into its implications.
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