This book provides concise yet thorough coverage of the fundamentals and technology of fuzzy sets. Readers will find a lucid
and systematic introduction to the essential concepts of fuzzy set-based information granules, their processing and detailed
algorithms. Timely topics and recent advances in fuzzy modeling and its principles, neurocomputing, fuzzy set estimation,
granulation-degranulation, and fuzzy sets of higher type and order are discussed. In turn, a wealth of examples, case studies,
problems and motivating arguments, spread throughout the text and linked with various areas of artificial intelligence, will
help readers acquire a solid working knowledge. Given the book's well-balanced combination of the theory and applied facets
of fuzzy sets, it will appeal to a broad readership in both academe and industry. It is also ideally suited as a textbook
for graduate and undergraduate students in science, engineering, and operations research.