Abstract
In this dissertation the generation and tuning of fuzzy membership function parameters are considered as a part of the
fuzzy model development process. The automatic generation and tuning of fuzzy membership function parameters are needed for the fast adaptation and tuning of fuzzy
models of various nonlinear dynamical systems. The developed methods are especially useful in automatic fuzzy membership function generation and tuning
when dynamic of application area is fast enough to exclude manual tuning. The fuzzy model development process and development methods, modelling
environment and nature of application area as well as algorithm development parameters are extensively discussed, because each of them sets their own
restrictions on the design parts and parameters used in the modelling. The developed methods have been applied in different kinds of applications (in forecasting
the demand of signal transmission products, power control and code tracking of cellular phone system, fuzzy reasoning in radio resource functions of
cellular phone systems), where other approaches are either very difficult or too time consuming to implement. The professional areas of the thesis are fuzzy
modelling and control in telecommunications.
| Identifer | oai:union.ndltd.org:oulo.fi/oai:oulu.fi:isbn951-42-6435-5 |
| Date | 20 June 2001 |
| Creators | Frantti, T. (Tapio) |
| Publisher | University of Oulu |
| Source Sets | University of Oulu |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/doctoralThesis, info:eu-repo/semantics/publishedVersion |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess, © University of Oulu, 2001 |
| Relation | info:eu-repo/semantics/altIdentifier/pissn/0355-3213, info:eu-repo/semantics/altIdentifier/eissn/1796-2226 |
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