Methods for designing and optimizing fuzzy controllers

dc.contributor.advisor	Kotzé, Wesley
dc.contributor.author	Swartz, Andre Michael
dc.date.accessioned	2026-03-03T13:36:14Z
dc.date.issued	2000
dc.description.abstract	We start by discussing fuzzy sets and the algebra of fuzzy sets. We consider some properties of fuzzy modeling tools. This is followed by considering the Mamdani and Sugeno models for designing fuzzy controllers. Various methods for using sets of data for desining controllers are discussed. This is followed by a chapter illustrating the use of genetic algorithms in designing and optimizing fuzzy controllers.Finally we look at some previous applications of fuzzy control in telecommunication networks, and illustrate a simple application that was developed as part of the present work.
dc.description.degree	Master's thesis
dc.description.degree	MSc
dc.format.extent	120 pages
dc.format.mimetype	application/pdf
dc.identifier.other	http://hdl.handle.net/10962/d1005226
dc.identifier.uri	https://researchrepository.ru.ac.za/handle/123456789/4139
dc.language	English
dc.publisher	Rhodes University, Faculty of Science, Department of Mathematics
dc.rights	Swartz, Andre Michael
dc.subject	Fuzzy sets
dc.subject	Fuzzy systems
dc.subject	Automatic control
dc.title	Methods for designing and optimizing fuzzy controllers
dc.type	Academic thesis

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