Genetic Fuzzy Rule-Based Modelling of Dynamic Systems Using Time Series
نویسندگان
چکیده
The paper presents a genetic fuzzy rule-based technique for the modelling of generalized time series (containing both, numerical and non-numerical, qualitative data) which are a comprehensive source of information concerning the behaviour of many complex systems and processes. The application of the proposed approach to the fuzzy rule-based modelling of an industrial gas furnace system using measurement data available from the repository at the http://www.stat.wisc.edu/∼reinsel/bjrdata (the so-called Box-Jenkins’ benchmark) is also presented.
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