Fuzzy set theory, introduced by Lotfi Zadeh in 1965, has in recent decades become one of the most useful tools and concepts because of its applicability in many areas of information sciences and applied mathematics. Fuzzy sets provide a mathematical framework for the handling of uncertain and vague information and concepts. Fuzzy sets and fuzzy control theory have found many practical applications in a range of fields, such as image processing, expert systems, data mining, signal processing, and bioinformatics. This course provides the foundations of fuzzy set theory and fuzzy reasoning, as well as practical hands on experience of fuzzy techniques in various applications through computer exercises and project work.
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UU (doc)
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