Artificial Intelligence with Neutrosophic Statistics
From Nano to Nature
1st Edition
Published on 8. December 2025
Book
Hardback
297 pages
978-1-0364-6313-7 (ISBN)
Description
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.
More details
Language
English
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 203 mm
Width: 152 mm
Thickness: 18 mm
Weight
454 gr
ISBN-13
978-1-0364-6313-7 (9781036463137)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Mr Usama Afzal, a PhD researcher at Tianjin University's School of Microelectronics, China, excels in microelectronics, environmental science, material statistics, and physics. His research, centered on material science, nanotechnology, and statistical system analysis, particularly focuses on developing advanced sensors for heavy metal detection. His innovative contributions have been published in prestigious journals and recognized through books and book chapters. As a respected leader in his field, Afzal inspires future researchers with his dedication to advancing sensor technology. He also serves as a book editor for numerous publishing houses, including Cambridge Scholars Publishing, significantly contributing to the scientific community.
Prof Muhammad Aslam pioneered the field of neutrosophic statistical quality control. He is the founder of several key areas in neutrosophic statistics, including neutrosophic inferential statistics, advanced neutrosophic distribution theory, neutrosophic survey sampling, neutrosophic design of experiments, neutrosophic reliability analysis, and neutrosophic index numbers. His contributions have been instrumental in developing the theoretical framework of neutrosophic statistics for inspection, inference, and process control. He originally formulated these concepts and expanded the theory across multiple domains within neutrosophic statistics.
Prof Muhammad Aslam pioneered the field of neutrosophic statistical quality control. He is the founder of several key areas in neutrosophic statistics, including neutrosophic inferential statistics, advanced neutrosophic distribution theory, neutrosophic survey sampling, neutrosophic design of experiments, neutrosophic reliability analysis, and neutrosophic index numbers. His contributions have been instrumental in developing the theoretical framework of neutrosophic statistics for inspection, inference, and process control. He originally formulated these concepts and expanded the theory across multiple domains within neutrosophic statistics.