Random fuzzy Poisson processes

• Autorzy: Guo R. , Nyirenda J. , Guo D.
• Języki publikacji: EN

Abstrakty

EN

Poisson processes, particularly the time-dependent extension, play important roles in reliability and risk analysis. It should be fully aware that the Poisson modeling in the current reliability engineering and risk analysis literature is merely an ideology under which the random uncertainty governs the phenomena. In other words, current Poisson Models generate meaningful results if randomness assumptions hold. However, the real world phenomena are often facing the co-existence reality and thus the probabilistic Poisson modeling practices may be very doubtful. In this paper, we define the random fuzzy Poisson process, explore the related average chance distributions, and propose a scheme for the parameter estimation and a simulation scheme as well. It is expecting that a foundational work can be established for Poisson random fuzzy reliability and risk analysis.

Słowa kluczowe

EN

credibility measure; credibilistic fuzzy variable; random fuzzy variable; average chance distribution

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2009
• Tom: Vol. 1
• Strony: 113--122
• Opis fizyczny: Bibliogr. 14 poz., tab.

Twórcy

autor

Guo R.

• University of Cape Town, Cape Town, South Africa

autor

Nyirenda J.

• University of Cape Town, Cape Town, South Africa

autor

Guo D.

• South African National Biodiversity Institute, Cape Town, South Africa

Bibliografia

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