Artificial Intelligence With Neutrosophic Statistics: From Nano to Nature

This book explores the cutting-edge integration of AI and neutrosophic statistics, providing powerful tools for analyzing complex data across environmental and material sciences. This book introduces neutrosophic logic, which extends classical logic by incorporating indeterminacy and inconsistency, to enhance AI models. It offers robust methods for decision-making and prediction, addressing uncertainties in data. Designed for researchers, practitioners, and students, this book bridges the gap between theory and practice, offering practical insights for intelligent analysis. By integrating neutrosophic logic with AI, it opens new avenues for handling incomplete and ambiguous data, making it an essential resource for those working with complex datasets. This book is a valuable addition to the literature on AI and statistics, providing readers with the tools and knowledge needed to navigate the complexities of data-driven research and development.