SYNTHESIS OF FUZZY MODELS FOR INDUSTRIAL PROCESSES-SOME RECENT RESULTS
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TL;DR
A definition of a fuzzy model is introduced, the assessment of its quality is discussed, and a systematic procedure for deriving a model from input-output data is outlined.
Abstract
Abstract Many industrial processes are examples of Zadeh's "principle of incompatibility" which states that as a system becomes more complex it becomes increasingly difficult to make mathematical statements about it which are both meaningful and precise. So that if a model of such a process is required then a fuzzy model may be the "best" that can be achieved. This paper considers the problems of building such models. It introduces a definition of a fuzzy model, discusses the assessment of its quality and outlines a systematic procedure for deriving a model from input-output data.