Analysis of Dynamical Systems Whose Inputs are Fuzzy Stochastic Processes

This paper considers systems whose input signals are fuzzy stochastic processes of second order. The analysis is entirely restricted to discrete time linear time-invariant systems. Convergence conditions of the output are given. The equations on the mean value functions and the covariance functions are derived. The representation of fuzzy stochastic processes is also discussed

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Year of publication:	2018
Authors:	Hu, Liangjian
Other Persons:	Wu, Rangquan (contributor) ; Shao, Shihuang (contributor)
Publisher:	[2018]: [S.l.] : SSRN
Subject:	Fuzzy-Set-Theorie \| Fuzzy sets \| Stochastischer Prozess \| Stochastic process \| Markov-Kette \| Markov chain \| Dynamische Wirtschaftstheorie \| Economic dynamics

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Extent:	1 Online-Ressource (8 p)
Series:	Mathematics Preprint Archive ; Vol. 2001, Issue 7, pp 50-57
Type of publication:	Book / Working Paper
Language:	English
Notes:	Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments July 2001 erstellt
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012923901