Data-Driven Modelling with Fuzzy Sets A Neutrosophic Perspective Intelligent Data-Driven Systems and Artificial Intelligence Series

Fuzzy sets have long been employed to handle imprecise and uncertain information in the real world, but their limitations in dealing with incomplete and inconsistent data led to the emergence of neutrosophic sets. In this thought-provoking book, titled ' Data-Driven Modelling with Fuzzy Sets: A Neutrosophic Perspective' the authors delve into the theories and advancements in the field of neutrosophic sets. The book explores the extensive applications of neutrosophic sets, ranging from neutrosophic graphs to single-valued trapezoidal neutrosophic sets, and their practical implications in knowledge management, including student learning assessment, academic performance evaluation, and technical article screening. This comprehensive resource is intended to benefit mathematicians, physicists, computer experts, engineers, scholars, practitioners, and students seeking to deepen their understanding of neutrosophic sets and their practical applications in diverse fields. This book comprises 11 chapters that provide a thorough examination of neutrosophic set theory and its extensions. Each chapter presents valuable insights into various aspects of data-driven modeling with neutrosophic sets and explores their applications in different domains. Ihe book covers a wide range of topics. The specific topics covered in the book include neutrosophic submodules, applications of neutrosophic sets, solutions to differential equations with neutrosophic uncertainty, cardinalities of neutrosophic sets, neutrosophic cylindrical coordinates, applications to graphs and climatic analysis, neutrosophic differential equation approaches to growth models, neutrosophic aggregation operators for decision making, and similarity measures for Fermatean neutrosophic sets. The diverse contributions from experts in the field, coupled with the constructive feedback from reviewers, ensure the book's high quality and relevance.

This book:

· Presents a qualitative assessment of big data in the education sector using linguistic Quadri partitioned single valued neutrosophic soft sets.

· Showcases application of n-cylindrical fuzzy neutrosophic sets in education using neutrosophic affinity degree and neutrosophic similarity Index.

· Covers scientific evaluation of student academic performance using single value neutrosophic Markov chain.

· Illustrates multi-granulation single-valued neutrosophic probabilistic rough sets for teamwork assessment.

· Examines estimation of distribution algorithm based on multiple attribute group decision-making to evaluate teaching quality.

With its wealth of knowledge, this book aims to inspire further research and innovation in the field of neutrosophic sets and their extensions, providing a valuable resource for scholars, practitioners, and students alike.

1. Applications of Neutroscopic Sets in Science, Humanity and Education. 2. First Order Non Homogeneous Ordinary Differential Equation with Initial Value Condition under Pentagonal Neutrosophic Number Environment. 3. Analysis of M/M/c Queue with Linguistic Single Valued Neutrosophic logic using Parametric Nonlinear Programming. 4. A Study on Cardinalities of the Neutrosophic Set and Neutrosophic Crisp Set. 5. A Study on the Systems of Neutrosophic Cylindrical Coordinates. 6. Application of Interval Quadri partitioned Single Valued Neutrosophic Sets to Graphs and Climatic Analysis. 7. Neutrosophic Submodule of Direct sum. 8. Quota harvesting logistic growth model:A neutrosophic differential equation approach. 9. Pentapartitioned Neutrosophic Dombi Weighted Aggregation Operator for MADM. 10. A Novel Technique of Neutrosophic Mayor-Torrens Hybrid Aggregation operator in Multi-Criteria Decision Making. 11. Similarity Measures of Fermatean Neutrosophic Sets based on the Euclidean Distance.

Said Broumi is serving as an Assistant Professor at Regional Center for the Professions of Education and Training, Casablanca-Settat, Morocco. Dr. Broumi Said completed his MSc and PhD in Computer Science from University of Hassan II of Casablanca, Morocco. He is permanent member at Laboratory of Information Processing, Faculty of Science Ben M’Sik, University Hassan II, Casablanca, Morocco. His research interests are in the field of graph theory, extended fuzzy graphs, decision analysis and neutrosophic theory. He has diversity in his research work. He has published several works on neutrosophic graph theory, soft set theory, multi-attribute decision analysis and some alternative theories of Neutrosophic Mathematics. He has published more than 200 research articles in international peer-reviewed ISI Indexed /Impact factor journals. Some of his papers have been published in high impact journals including, Complex & Intelligent Systems, Computational and Applied Mathematics, Symmetry, and Journal of Neutrosophic Set and Systems. His work has largely been cited and total citation is more than 5992 (Scholar Google, H-index 41). He has presented his research work at some national as well as international conferences. He has been acting as a reviewer for a number of international journals. He is also an Editor in chief of the following journals:

1. International Journal of Neutrosophic Set and Systems

2. International Journal of Neutrosophic Science.

Dr. D. Nagarajan is a Professor in the Department of Mathematics, Rajalakshmi Institute of Technology, Chennai, India. He received his Ph.D., from Manonmaniam Sundaranar University, 2007. He has a total of twenty-three years of experience in both academia and research National as well as International Institutions. He has published 110 research articles in international reputed journals as well as serving as a reviewer for many peers reviewed journals. He has two patents on his credit.