A study of fuzzy set theory and applications. Topics include (a) mathematical foundations of fuzzy logic, (b) relationship to classical probability, (c) applications in control engineering, robotics, decision analysis, pattern recognition, approximate reasoning, etc., (d) use of empirical and neural network techniques in designing fuzzy systems, and (e) implementation architectures. Same as EECE 589.