Highlights A transparent and generic framework is proposed to design a risk matrix. Weights of probability and consequence indices represent their importance on given risk level. Experts judgements are quantified using fuzzy Analytic Hierarchy Process. A risk matrix is designed for Maritime Surface Autonomous Ships.

    Abstract Risk matrix, a tool for visualizing risk assessment results, is essential to facilitate the risk communication and risk management in risk-based decision-making processes related to new and unexplored socio-technical systems. The use of an appropriate risk matrix is discussed in the literature, but it is overlooked for emerging technologies such as Maritime Autonomous Surface Ships (MASS). In this study, a comprehensive framework for developing a risk matrix based on fuzzy Analytic Hierarchy Process (AHP) is proposed. In this framework, a linear function is defined where the risk index is treated as a response variable, while the probability and consequence indices are explanatory variables, with weights of these two indices representing their importance on given risk level. This significance is assessed by experts and quantified using AHP in interval type 2 fuzzy environment. A continuous risk diagram is then created and converted into a risk matrix that can be improved. To verify the feasibility of the proposed framework, a risk matrix is designed in the context of MASS grounding. The results show that the proposed approach is feasible. Our discussion results can provide new insights for the design of risk matrices and promote the management of MASS navigational risks.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    NAVIGATION RISK DISPLAY PROGRAM, AND NAVIGATION RISK DISPLAY SYSTEM

    KUROSAWA AKIRA / NURUL IZZATI BINTI MOHAMMAD TAIPO | Europäisches Patentamt | 2015

    Freier Zugriff

    Risk Based Navigation Decisions

    Prof. Spalanzani, Anne / Rios-Martinez, Jorge / Dr. Laugier, Christian et al. | Springer Verlag | 2012


    A cloud-based framework for risk-aware intelligent navigation in urban environments

    Primatesta, Stefano / Capello, Elisa / Antonini, Roberto et al. | IEEE | 2017



    RISK ASSESSMENT FRAMEWORK

    RANGAN SURESH / BOWMAN JAMES L / FISHER ROBERT E | Europäisches Patentamt | 2020

    Freier Zugriff