Data-Driven Modelling with Fuzzy Sets; A Neutrosophic Perspective
Said Broumi, D. Nagarajan, Michael Gr. Voskoglou, S. A. EdalatpanahThis 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. The 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 quadripartitioned single-valued neutrosophic so