This book bridges the gap between theoretical modelling and everyday problems by showing the application of fuzzy logic to address those problems that are complex, uncertain and human-centric. Its innovative approach stresses real applications in various kinds of domains, promoting interdisciplinary understanding and innovation. In general, it deals with engineering, management, social systems and decision-making scenarios, establishing itself as an extremely useful tool for researchers, p...

Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of data science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in data science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, machine learning models, the Kalman filter, data modeling, a...