Ship to Ship Transfer of Cargo Operations: Risk Assessment Applying a Fuzzy Inference System

Although the safety records for Ship to Ship (STS) transfer operations reflect to safe procedures, nevertheless it remains a complex operation that needs special consideration due to the adverse consequences of a potential accident. The aim of this paper is to apply fuzzy inference system as a novel approach for risk assessment for STS transfer operations. The advantages of the fuzzy approach are highlighted through the application of the Mamdani’s method for hypothetical accident scenarios.

[1]  Bioaccumulative Substances,et al.  Risk Assessment , 2020, A Public Service.

[2]  B. Bose,et al.  Evaluation of membership functions for fuzzy logic controlled induction motor drive , 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

[3]  Norhashimah Morad,et al.  Application of fuzzy inference systems and genetic algorithms in integrated process planning and scheduling , 2002 .

[4]  Novruz Allahverdi,et al.  Design of a fuzzy expert system for determination of coronary heart disease risk , 2007, CompSysTech '07.

[5]  E. H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Man Mach. Stud..

[6]  T. Elsayed.  Fuzzy inference system for the risk assessment of liquefied natural gas carriers during loading/offloading at terminals , 2009 .

[7]  Tarek A. Elsayed,et al.  Risk assessment of liquefied natural gas carriers using fuzzy TOPSIS , 2014 .

[8]  Arben Mullai,et al.  A risk analysis framework for maritime transport of packaged dangerous goods. A validating demonstration , 2007 .

[9]  M. Neshat,et al.  A Fuzzy Expert System for Heart Disease Diagnosis , 2022 .

[10]  Tajana Simunic,et al.  Context-Aware Mobile Power Management Using Fuzzy Inference as a Service , 2012, MobiCASE.

[11]  Tanja Brcko,et al.  Fuzzy reasoning as a base for collision avoidance decision support system , 2013 .

[12]  N. Ventikos,et al.  Ship to Ship (STS) Transfer ïf Cargo: Latest Developments and Operational Risk Assessment , 2013 .

[13]  Novruz Allahverdi,et al.  A fuzzy expert system design for diagnosis of prostate cancer , 2003, CompSysTech '03.

[14]  Chwen Jen Chen,et al.  Application of Fuzzy Inference System (FIS) To Criterion-Referenced Assessment with a Case Study , 2009 .

[15]  Rolf Skjong,et al.  SAFEDOR ‚Äì risk-based ship design, operation and regulation , 2006 .

[16]  Robert Ivor John,et al.  Choosing membership functions of linguistic terms , 2003, The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03..

[17]  Madjid Tavana,et al.  A fuzzy inference system with application to player selection and team formation in multi-player sports , 2013 .

[18]  Tarek A. Elsayed.  Risk Assessment of Marine LNG Operations , 2010 .

[19]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[20]  Ying Bai,et al.  Advanced Fuzzy Logic Technologies in Industrial Applications , 2010 .

[21]  Yu-To Chen,et al.  Fuzzy Computing Applications for Anti-Money Laundering and Distributed Storage System Load Monitoring , 2011 .

[22]  M. Student,et al.  Fuzzy Model for Optimizing Strategic Decisions using Matlab , 2011 .

[23]  Jin Wang,et al.  A fuzzy-logic-based approach to qualitative safety modelling for marine systems , 2001, Reliab. Eng. Syst. Saf..

[24]  Vicki M. Bier,et al.  Advances in Decision Analysis: Probabilistic Risk Analysis for Engineered Systems , 2007 .

[25]  Mohd Noor,et al.  Application of knowledge-based fuzzy inference system on high voltage transmission line maintenance , 2004 .