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CISC 467 Fuzzy Logic Units: 3.00
History of fuzzy theory; fundamental concepts of fuzzy theory: sets, relations, and logic operators. Approximate reasoning, fuzzy inference, possibility theory. Separation from probability. Fuzzy control systems. Fuzzy pattern recognition. Advanced topics may include fuzzy expert systems, financial systems, graph theory, optimization.
Learning Hours: 120 (36 Lecture, 84 Private Study)
Requirements: Prerequisite Level 4 or above and registration in a BCMP or COCA Plan and a minimum grade of a C- (obtained in any term) or a 'Pass' (obtained in Winter 2020) in CISC 204.
Offering Faculty: Faculty of Arts and Science