Clustering for Fuzzy Model Identification — Regression


For many real world applications a great deal of information is provided by human experts, who do not reason in terms of mathematics but instead describe the system verbally through vague or imprecise statements like, If The Temperature is Big then The Pressure is High. (3.1) Because so much human knowledge and expertise is given in terms of verbal rules, one of the sound engineering approaches is to try to integrate such linguistic information into the modelling process. A convenient and common approach of doing this is to use fuzzy logic concepts to cast the verbal knowledge into a conventional mathematics representation (model structure), which subsequently can be fine-tuned using input-output data.


Membership Function Fuzzy Rule Fuzzy Model Fuzzy Cluster Fuzzy Regression 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Birkhäuser Verlag AG 2007

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