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    Wyświetlanie 1-3 z 3
    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
    Tytuł:
    Reliability concept under general uncertainty
    Autorzy:
    Guo, R.
    Cui, Y.
    Thiart, C.
    Guo, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/2069525.pdf
    Data publikacji:
    2010
    Wydawca:
    Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
    Tematy:
    probabilistic reliability
    uncertain reliability
    uncertain measure
    uncertainty lifetime
    uncertain hazard function
    Opis:
    The Toyota crisis is tearing off the brand image of quality and reliability and therefore it is logical to question whether the dominating position of probability theory, on which Japanese quality and reliability engineering practices are established, should be examined. In general, reliability analysis is an exercise under uncertain environment. Foundationally speaking, uncertain modeling is a matter of choosing what kind of uncertain measure as its standing point. In this paper, we introduce the uncertainty reliability concept on the platform of the axiomatic uncertain measure theory and compare it to probabilistic reliability concept based on Kolmogorov’s probability measure theory, on which the traditional quality and reliability engineering is established. It is expecting that a foundational work can be established for a more rigorous reliability engineering and risk analysis under general uncertainty environments.
    Źródło:
    Journal of Polish Safety and Reliability Association; 2010, 1, 1; 105--114
    2084-5316
    Pojawia się w:
    Journal of Polish Safety and Reliability Association
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Decision theory under general uncertainty
    Autorzy:
    Cui, Y.
    Guo, R.
    Dunne, T.
    Guo, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/2069606.pdf
    Data publikacji:
    2010
    Wydawca:
    Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
    Tematy:
    statistical decision
    state space
    action space
    uncertain measure
    loss function
    risk
    uncertainty decision
    Opis:
    The exposure of Toyota management’s cover-up of its faulty car component problems raises a fundamental question: did Toyota management make an appropriate decision taking all uncertainties into account? Statistical decision theory is a framework with a probabilistic foundation, which admits random uncertainty about the real world and human thinking. In general, the uncertainty of the real world is diversified and therefore the effort of trying to deal with different forms of uncertainty with one special form of uncertainty, namely random uncertainty, may be oversimplified. In this paper, we introduce an axiomatic uncertain measure theoretical framework and explore the essential mechanism in formulating a general uncertainty decision theory. We expect that a new understanding of uncertainty and development of a corresponding new uncertainty decision-making approach may assist intelligence communities to survive and deal with the extremely tough and diverse aspects of an uncertain reality.
    Źródło:
    Journal of Polish Safety and Reliability Association; 2010, 1, 1; 51--66
    2084-5316
    Pojawia się w:
    Journal of Polish Safety and Reliability Association
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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