International Journal of Science, Engineering and TechnologyAuthors: Mr. Ghadage V.D.
Abstract: Artificial Intelligence (AI) has become one of the most rapidly growing fields in modern technology. AI systems often deal with uncertain, vague, and imprecise information. To handle such situations, Fuzzy Mathematics plays a crucial role in providing a mathematical framework for approximate reasoning. Unlike classical mathematics, fuzzy mathematics allows partial truth values between 0 and 1, making it suitable for real-world decision-making problems. Concepts such as fuzzy sets, membership functions, fuzzy logic, and fuzzy relations are widely used in control systems, machine learning, pattern recognition, robotics, and expert systems. This paper explores the importance of fuzzy mathematics in AI, its core components, applications, advantages, challenges, and future scope. The study highlights how fuzzy-based approaches improve decision-making, handle uncertainty, and enhance intelligent system performance.
DOI: https://doi.org/10.5281/zenodo.20132633
