Abstract
AbstractBased on the fuzzy-integral model constructed in Chap. 5, methods and algorithms are developed for identifying the “input–output” operator of continuous and stationary discrete extremal fuzzy dynamic systems (EFDS). The EFDS “input–output” operator is restored by means of expert knowledge data with possibilistic uncertainty, the source of which is extremal fuzzy time intervals (Chap. 3). The regularization conditions for obtaining quasi-optimal estimates are substantiated by the proved theorems. Corresponding algorithms are provided. The results obtained are illustrated by examples in the case of a finite set of EFDS states.KeywordsFuzzy ExtremeFuzzy Integral ModelFuzzy ProcessingExpert Knowledge DataPossibilistic UncertaintyThese 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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