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Erschienen in:
2007 | OriginalPaper | Buchkapitel
Clustering for Fuzzy Model Identification — Regression
Erschienen in: Cluster Analysis for Data Mining and System Identification
Verlag: Birkhäuser Basel
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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.