Temat: chance measure - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Hybrid reliability modelling under general uncertainty
Autorzy:: Guo, R.
Cui, Y.
Thiart, C.
Guo, D.
Powiązania:: https://bibliotekanauki.pl/articles/2069636.pdf
Data publikacji:: 2010
Wydawca:: Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:: uncertain measure
hybrid lifetime
uncertain parameter
average chance reliability
Opis:: The real world phenomena are often facing the co-existence reality of different formality of uncertainty and thus the probabilistic reliability modeling practices are very doubtful. Under complicated uncertainty environments, hybrid variable modeling is important in reliability and risk analysis, which includes Bayesian distributional theory, random fuzzy distributional theory, as well as fuzzy random distributional theory as special distribution families. In this paper, we define a new hybrid lifetime which is specified by a random lifetime distribution with an uncertain distributed parameter, which is called as random uncertain hybrid lifetime. We furthermore define the average chance distribution as a quality index for quantifying the hybrid lifetime and accordingly the average chance reliability is derived.
Źródło:: Journal of Polish Safety and Reliability Association; 2010, 1, 1; 115--122
2084-5316
Pojawia się w:: Journal of Polish Safety and Reliability Association
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Random fuzzy Poisson processes
Autorzy:: Guo, R.
Nyirenda, J.
Guo, D.
Powiązania:: https://bibliotekanauki.pl/articles/2069685.pdf
Data publikacji:: 2009
Wydawca:: Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:: credibility measure
credibilistic fuzzy variable
random fuzzy variable
average chance distribution
Opis:: 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.
Źródło:: Journal of Polish Safety and Reliability Association; 2009, 1; 113--122
2084-5316
Pojawia się w:: Journal of Polish Safety and Reliability Association
Dostawca treści:: Biblioteka Nauki

Artykuł

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