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The best-selling A First Course in Fuzzy Logic provides an introduction to the theory of fuzzy sets and to the various areas of application in engineering and decision making. This third edition has been completely revised and expanded with new information on copulas and t-norms and features a new section on type-2 fuzzy sets. It also includes expanded information on generalized modus ponens, the compositional rule of inference, possibility theory, partial knowledge, and fuzzy integrals. With exercises at the end of each chapter, this book remains an essential text for students from such fields as artificial intelligence, computer science, engineering, cognitive science, and probability and statistics.