Some insights in novel risk modeling of liquefied natural gas carrier maintenance operations
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[1] Dragan Savic,et al. Optimal opportunistic maintenance policy using genetic algorithms, 1: formulation , 1995 .
[2] MaCarmen Carnero. An evaluation system of the setting up of predictive maintenance programmes , 2006 .
[3] Jian-Bo Yang,et al. Safety analysis and synthesis using fuzzy sets and evidential reasoning , 1995 .
[4] Zaili Yang,et al. Adoption of new advanced computational techniques to hazards ranking in LNG carrier operations , 2013 .
[5] Lin Ma,et al. Failure analysis of engineering systems with preventive maintenance and failure interactions , 2009, Comput. Ind. Eng..
[6] R. Sukanesh,et al. Genetic algorithm optimization of fuzzy outputs for classification of epilepsy risk levels from EEG signals , 2004, 2004 IEEE Region 10 Conference TENCON 2004..
[7] Gary Fitzgerald,et al. Fire Risk Assessment of Gas Turbine Propulsion System for LNG Carriers , 2009 .
[8] Kostadin Ivanov,et al. New genetic algorithms (GA) to optimize PWR reactors: Part I: Loading pattern and burnable poison placement optimization techniques for PWRs , 2008 .
[9] Williams,et al. Human Error Assessment and Management in Port Operations using Fuzzy AHP , 2006 .
[10] Jin Wang,et al. Application of genetic algorithm to risk-based maintenance operations of liquefied natural gas carrier systems , 2011 .
[11] M. Singh,et al. An Evidential Reasoning Approach for Multiple-Attribute Decision Making with Uncertainty , 1994, IEEE Trans. Syst. Man Cybern. Syst..
[12] T. Elsayed. Fuzzy inference system for the risk assessment of liquefied natural gas carriers during loading/offloading at terminals , 2009 .
[13] A. J. Mokashi,et al. A study of reliability-centred maintenance in maritime operations , 2002 .
[14] Jian-Bo Yang,et al. On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty , 2002, IEEE Trans. Syst. Man Cybern. Part A.
[15] Jian-Bo Yang,et al. Multi-person and multi-attribute design evaluations using evidential reasoning based on subjective safety and cost analyses , 1996 .
[16] Roberto Bubbico,et al. Preliminary risk analysis for LNG tankers approaching a maritime terminal , 2009 .
[17] Jean-Marie Proth,et al. Predictive maintenance: The one-unit replacement model , 1998 .
[18] Jin Wang,et al. A subjective modelling tool applied to formal ship safety assessment , 2000 .
[19] Mahmood Shafiee,et al. A fuzzy analytic network process model to mitigate the risks associated with offshore wind farms , 2015, Expert Syst. Appl..
[20] Shing-Chung Ngan,et al. Evidential Reasoning approach for multiple-criteria decision making: A simulation-based formulation , 2015, Expert Syst. Appl..
[21] N. S. Arunraj,et al. Risk-based maintenance policy selection using AHP and goal programming. , 2010 .
[22] J. Yen,et al. Fuzzy Logic: Intelligence, Control, and Information , 1998 .
[23] Eric Châtelet,et al. Optimization of maintenance policy using the proportional hazard model , 2009, Reliab. Eng. Syst. Saf..
[24] Jin Wang,et al. A subjective methodology for safety analysis of safety requirements specifications , 1997, IEEE Trans. Fuzzy Syst..
[25] S. Bonsall,et al. A fuzzy genetic algorithm approach for analysing maintenance cost of high risk liquefied natural gas carrier systems under uncertainty , 2013 .
[26] Christine M. Anderson-Cook. Practical Genetic Algorithms (2nd ed.) , 2005 .
[27] Jin Wang,et al. Risk assessment of fishing vessels using fuzzy set approach , 2002 .
[28] Jian-Bo Yang,et al. A subjective risk analysis approach of container supply chains , 2005, Int. J. Autom. Comput..
[29] Jin Wang,et al. Technology and Safety of Marine Systems , 2003 .
[30] Pedro Antão,et al. Analysing the risk of LNG carrier operations , 2008, Reliab. Eng. Syst. Saf..
[31] Melanie Mitchell,et al. An introduction to genetic algorithms , 1996 .
[32] Darshana Godaliyadde,et al. Application of formal safety assessment for ship hull vibration modelling , 2008 .
[33] Mi Zhou,et al. Group Evidential Reasoning Approach for MADA under Fuzziness and Uncertainties , 2013, Int. J. Comput. Intell. Syst..
[34] Jian-Bo Yang,et al. Addressing the contractor selection problem using an evidential reasoning approach , 2001 .
[35] Luca Podofillini,et al. Optimal reliability/availability of uncertain systems via multi-objective genetic algorithms , 2004, IEEE Transactions on Reliability.
[36] P. Zalewski. Risk assessment of LNG carrier systems failure using fuzzy logic , 2011 .
[37] Masatoshi Sakawa,et al. Genetic Algorithms and Fuzzy Multiobjective Optimization , 2001 .
[38] Jin Wang,et al. A fuzzy-logic-based approach to qualitative safety modelling for marine systems , 2001, Reliab. Eng. Syst. Saf..
[39] Jian-Bo Yang,et al. Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertainties , 2001, Eur. J. Oper. Res..
[40] Randy L. Haupt,et al. Practical Genetic Algorithms , 1998 .
[41] David Coley,et al. Introduction to Genetic Algorithms for Scientists and Engineers , 1999 .
[42] Zaili Yang,et al. Use of Fuzzy Risk Assessment in FMEA of Offshore Engineering Systems , 2015 .
[43] L. Zadeh,et al. Fuzzy sets and applications : selected papers , 1987 .
[44] Jin Wang,et al. A new fuzzy evidential reasoning method for risk analysis and control of a liquefied natural gas carrier system , 2011 .
[45] Thaddeus C. Nwaoha. Inclusion of hybrid algorithm in optimal operations of liquefied natural gas transfer arm under uncertainty , 2014 .