Intelligent processing of temporal data based on hybrid fuzzy-stochastic models

Intelligent processing of temporal data based on hybrid fuzzy-stochastic models

A new approach to intelligent processing of temporal data that is based on hybrid fuzzy-stochastic models is proposed. A formal representation of a hybrid model implementing intelligent temporal data processing in the form of a composition of deterministic, stochastic, and fuzzy-logic models is cons...

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Veröffentlicht in:Automatic control and computer sciences 2015, Vol.49 (1), p.1-10
Hauptverfasser: Kovalev, S. M., Sokolov, S. V., Kucherenko, P. A.
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Sprache:eng
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Control Structures and Microprogramming
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creator Kovalev, S. M.
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description A new approach to intelligent processing of temporal data that is based on hybrid fuzzy-stochastic models is proposed. A formal representation of a hybrid model implementing intelligent temporal data processing in the form of a composition of deterministic, stochastic, and fuzzy-logic models is considered. An analytical method for parameter identification of the hybrid model for the general case is presented; an illustrative example is given.
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title Intelligent processing of temporal data based on hybrid fuzzy-stochastic models
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