Lattice Based Interval Fuzzy Soft Sets - Brian Roberto - Bog

"Lattice Based Interval Fuzzy Soft Sets" written by AR. Pandipriya is a comprehensive guide that explores the principles and applications of Lattice-based Interval Fuzzy Soft Sets. The book delves into the fundamental concepts of Interval Mathematics, Fuzzy Mathematics, and Lattice Theory to provide a solid foundation for understanding Lattice-based Interval Fuzzy Soft Sets. The book covers a range of topics, including Fuzzy Sets, Interval-valued Fuzzy Sets, and Soft Computing, and provides an in-depth examination of their applications.The book discusses the Algebraic Structure of Fuzzy Soft Sets, including Fuzzy Membership Functions, Fuzzy Relations, and Interval-Valued Relations, and their relationships with Lattice-Based Fuzzy Relations, Soft Relations, and Interval-Valued Soft Relations. It also explores Lattice-Based Fuzzy Soft Sets and Interval-Valued Fuzzy Soft Sets and their operations, including Fuzzy Soft Set Operations and Interval-Valued Fuzzy Soft Set Operations. The book further delves into Fuzzy Soft Set Theory, Interval-Valued Fuzzy Soft Set Theory, and Lattice-Based Fuzzy Soft Set Theory, and their applications in Decision Making, Multi-Criteria Decision Making, and Uncertainty Management.Moreover, the book explains how Lattice-Based Interval Fuzzy Soft Sets can be used for Knowledge Representation, Expert Systems, and Artificial Intelligence. It discusses Interval-Valued Knowledge Representation, Fuzzy Knowledge Representation, and Lattice-Based Knowledge Representation, along with Interval-Valued Expert Systems, Fuzzy Expert Systems, and Lattice-Based Expert Systems. It also explores Interval-Valued Artificial Intelligence, Fuzzy Artificial Intelligence, and Lattice-Based Artificial Intelligence. Overall, this book is a valuable resource for researchers, practitioners, and students interested in the theory and applications of Lattice-Based Interval Fuzzy Soft Sets.