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Wyszukujesz frazę "fuzzy rule" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
An expert elicitation analysis for vessel allision risk near the offshore wind farm by using fuzzy rule-based bayesian network
Autorzy:
Yu, Q.
Liu, K.
Powiązania:
https://bibliotekanauki.pl/articles/117215.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
offshore wind farms
expert elicitation analysis
Bayesian network model
fuzzy rule-based bayesian network
Failure Modes and Effects Analyses (FMEA)
Bayesian Networks
vessel allision risk
risk analysis
Opis:
This paper develops an expert based framework for analysing and synthesising the ship allision risk near the offshore wind farm (OWF) on the basis of a generic Fuzzy Bayesian network and FMEA analysis. This framework is specifically intended to overcome the difficulty of using traditional risk assessment methods in OWF allision. Under the introduced framework, subjective belief degrees are assigned to model the incompleteness encountered in establishing the knowledge base. The fuzzy transformation technology is then used to introduce all judgements results under various situations. Fully, a Bayesian network is established to aggregate all relevant attributes to the conclusion and to prioritise potential allision risk level of each ship categories. A series of case studies of different ship categories are studied to illustrate the application of the proposed framework. Results show that the fishing vessel and the service vessel have a higher allision risk than the merchant vessel due to insufficient risk detection. The collision consequence of the tanker is significantly higher than other types of vessel. The framework facilitates subjective risk assessment when historical failure data is not available in their practice, which provides support to OWF-safeguarding and decision-making.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 4; 831-837
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of the 1-2-3 Rule for Calculations of a Vessel’s Route Using Evolutionary Algorithms
Autorzy:
Wiśniewski, B.
Medyna, P.
Chomski, J.
Powiązania:
https://bibliotekanauki.pl/articles/116117.pdf
Data publikacji:
2009
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
tropical cyclones avoidance
Fuzzy Domain
Weather Navigation
Tropical Cyclones
1-2-3 Rule
vessels route
evolutionary algorithms
route planning
Opis:
An example is shown of the 1-2-3 rule application for calculations to determine a route avoiding tropical cyclones. The dynamic programming used is based on regularly received weather reports containing present and forecast data on tropical cyclones. The results were compared with the post factum calculated route which utilized only weather analyses concerning the relevant moments of the voyage and with routes calculated using the cyclone fuzzy domain as an area dangerous to navigation. The calculations were made in the evolutionary algorithms environment.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2009, 3, 2; 143-146
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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