Credit Weight: 0.5 Description: The course deals with principles of Fuzzy Logic and fundamentals of expert systems. Topics include components of expert systems, operations on fuzzy sets, linguistic variables, fuzzy implications, compositional rule of inference, approximate reasoning techniques, multivariable inference engines, fast fuzzy inference engines, rule-based learning systems, fuzzy logic-based microprocessors, applications in Engineering Sciences and consumer electronics. The course is organized as a design-intensive procedure for intelligent systems. Offering: 3-1.5; or 3-1.5
