Temat: 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

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Skocz do pozycji: 2.

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

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Skocz do pozycji: 3.

Tytuł:: Fuzzy regression : a scalar variable formation
Autorzy:: Guo, R.
Guo, D.
Powiązania:: https://bibliotekanauki.pl/articles/2069559.pdf
Data publikacji:: 2008
Wydawca:: Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:: credibility measure
fuzzy variable
fuzzy regression
M-estimator
variance-covariance matrix
Opis:: In reliability, quality control and risk analysis, fuzzy methodologies are more and more involved and inevitably introduced difficulties in seeking fuzzy functional relationship between factors. In this paper, we propose a scalar variable formation of fuzzy regression model based on the credibility measure theoretical foundation. It is expecting our scalar variable treatments on fuzzy regression models will greatly simplify the efforts to seeking fuzzy functional relationship between fuzzy factors. An M-estimator for the regression coefficients is obtained and accordingly the properties and the variance-covariance for the coefficient M-estimators are also investigated in terms of weighted least-squares arguments. Finally, we explore the asymptotic membership function for the coefficient M-estimators.
Źródło:: Journal of Polish Safety and Reliability Association; 2008, 1; 159--167
2084-5316
Pojawia się w:: Journal of Polish Safety and Reliability Association
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

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

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Skocz do pozycji: 5.

Tytuł:: Random fuzzy continuous-time Markov chains
Autorzy:: Guo, R.
Nyirenda, J.
Dunne, T.
Guo, D.
Powiązania:: https://bibliotekanauki.pl/articles/2069696.pdf
Data publikacji:: 2009
Wydawca:: Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:: stochastic semigroup
rate matrix
credibility measure
repairable system
random fuzzy Markov process
Opis:: Continuous-time Markov chains is an important subclass in stochastic processes, which have facilitated many applications in business decisions, investment risk analysis, insurance policy making and reliability modeling. It should be fully aware that the existing continuous-time Markov chains theory is merely an ideology under which the random uncertainty governs the phenomena. However, the real world phenomena are often revealing the randomness and vagueness co-existence reality and thus the probabilistic continuous-time Markov chains modeling practices may be not adequate. In this paper, we define the random fuzzy continuous-time Markov chains, 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 reliability modeling and risk analysis, particularly, repairable system modeling.
Źródło:: Journal of Polish Safety and Reliability Association; 2009, 1; 123--132
2084-5316
Pojawia się w:: Journal of Polish Safety and Reliability Association
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

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

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