Decision support framework for risk management on sea ports and terminals using fuzzy set theory and evidential reasoning approach

Expert Systems with Applications

Volumn 39, Issue 5, 2012, Pages 5087-5103

  Mokhtari, Kambiz ^a   Ren, Jun ^a   Roberts, Charles ^a   Wang, Jin ^a  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

Author keywords

Decision support framework; Evidential reasoning (ER); Fuzzy set theory (FST); Ports and terminals operations and management (PTOM); Risk management (RM)

Indexed keywords

CASE STUDY ANALYSIS; COMPLEX ENVIRONMENTS; CONTINUOUS IMPROVEMENTS; DECISION SUPPORT FRAMEWORK; EVIDENTIAL REASONING; EVIDENTIAL REASONING APPROACHES; LOGISTICS INFRASTRUCTURE; OPERATIONAL RISKS; OVERALL RISK LEVEL; PORT INDUSTRY; PORT-TO-PORT; PORTS AND TERMINALS OPERATIONS AND MANAGEMENT (PTOM); PROTECTIVE MEASURES; REAL SITUATION; RISK CONTROLS; RISK EVALUATION; RISK FACTORS; RISK MANAGER; SEA PORTS;

CRITICAL INFRASTRUCTURES; DECISION MAKING; DECISION SUPPORT SYSTEMS; DECISION THEORY; FUZZY SETS; PORTS AND HARBORS; RISK MANAGEMENT; SENSITIVITY ANALYSIS;

FUZZY SET THEORY;

EID: 84855872403     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.11.030     Document Type: Article

References (102)

1. ABS, American Bureau Shipping (2000) Risk assessment applications for marine and offshore oil and gas industries.
2. ABS, American Bureau Shipping (2003) A guide for risk evaluations for the classification of marine-related facilities.
3. Alderton, P. M. (2008). Lloyd's practical shipping guides: Port management and operations, (3rd ed.).
4. M.B. Anoop, R.K. Balaji, and S. Gopalakrishnan Conversion of probabilistic information into fuzzy sets for engineering decision analysis Computers and Structures 84 2006 141 155
5. S. Balli, and S. Korukoglu Operating system selection using Fuzzy AHP and TOPSIS methods Mathematical and Computational Applications 14 2 2009 119 130
6. V. Belton, and T.J. Stewart Multiple criteria decision analysis: An integrated approach 2002 Kluwer Norwell, MA
7. Bichou, K.; Mike, G. H. & Evans, A. (2007). Lloyd's practical shipping guides: Risk management in port operations, logistics and supply chain security.
8. G. Bordogna, and G. Pasi A fuzzy linguistic approach generalising Boolean information retrieval: A model and its evaluation Journal of the American society for information science 44 1993 70 82
9. G. Bordogna, M. Fedrizzi, and G. Pasi A linguistic modelling of consensus in group decision making based on OWA operators IEEE-Systems, man and cybernetics 27 1997 126 132
10. J.C. Brancheau, B.D. Janz, and J.C. Wetherbe Key issues in information systems management: 1994-1995 SIM delphi results MIS Quarterly 20 2 1996 225 242
11. M. Broadbent, and P. Weill Management by maxim: How business and IT managers can create IT infrastructures Sloan Management Review, Spring 1997 77 91
12. Bureau of Transport Economics (2000) 'Regional Impact of ports', Report 101, Canberra.
13. M. Butterworth, R. Reddaway, and T. Benson Corporate governance - a guide for insurance and risk managers 1996 Association of Insurance and Risk Management London
14. Cat, J. (2006). Fuzzy empiricism and fuzzy-set causality: What is all the fuzzy", philosophy of science, Indiana University, 73 (January 2006) (pp. 26-41) 0031-8248/2006/7301-0002.
15. D.Y. Chang Applications of the extent analysis method on fuzzy AHP European Journal of Operational Research 95 1996 649 655
16. P. Chang, and Y. Chen A fuzzy multicriteria decision making method for technology transfer strategy selection in biotechnology Fuzzy Sets and Systems 63 1994 131 139
17. C.T. Chen Extensions of the TOPSIS for group decision-making under fuzzy environment Fuzzy Sets and Systems 114 2000 1 9
18. Davis, J. D.; Macknight, S.; IMO Staff and Others. (1990). Environmental Considerations for Port and Harbour Developments, World Bank, Technical Paper No 126, Washington, USA.
19. R. Degani, and G. Bortolan The problem of linguistic approximation in clinical decision making International Journal of Approximate Reasoning 2 1988 143 162
20. Deshpande, A. W.; Bortolan, G. (1999). Application of fuzzy set theory to environmental engineering systems. BISC Seminar, 7th October, National environmental engineering research institute (NEERI), India.
21. DETR, UK. (2000) Port Marine Safety Code, March 2000, ISBN: 1 85112 365 2.
22. A. Eardley, D. Avison, and P. Powell Developing information systems to support flexible strategy Journal of Organizational Computing and Electronic Commerce 7 1 1997 57 77
23. D. Ertugrul, and N. Karakasoglu Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods Expert Systems with Applications 36 2 2009 702 715
24. ESCAP, Economical Social Commission for Asia and Pacific (1992) Assessment of the Environmental Impact of Port Developments. An IMO/ESCAP seminar, Yokohama 31/8-4/9.
25. C. Frost, D. Allen, J. Porter, and J. Bloodworth Operational risk and resilience 2001 Butterworth-Heinnemann
26. GAO (2006) 'PORT RISK MANAGEMENT: Further Refinements Needed to Assess Risks and Prioritize Protective Measures at Ports and Other Critical Infrastructure'. Report to Congressional Committees.US Government Accountability Office.
27. GAO (2007) 'PORT RISK MANAGEMENT: Additional Federal Guidance Would Aid Ports in Disaster Planning and Recovery'. Report to Congressional Committees. US Government Accountability Office.
28. A.J. Gonzalez, and D.D. Dankel The engineering of knowledge-based systems: Theory and Practice 1993 Prentice-Hall Englewood-Cliffs
29. Goulielmos, A. M. (1998). Continuous learning about Markets in Shipping and the impact on Ports. The Greek experience, Port Challenge 2000: The Competitive edge symposium. PMF Consultants Worldwide, 2 and 3 April, London.
30. A.M. Goulielmos European policy on port environmental protection Global Nest: The International Journal 2 2 2000 189 197
31. Harrald, J. R. & Merrick, J. (2000). Development of a decision support tool for assessing vessel traffic management requirements for US ports proceedings. In 7th Annual Conference of the International Emergency Management Society (pp. 165-174). Orlando, FL.
32. J.S. Helmick Intermodal ports and liner shipping: A 21st century status report Logistics spectrum 35 1 2001 20 23
33. Huang, C. L. & Yoon, K. (1981). Multiple attribute decision making methods and applications, A State-of-Art Survey, New York.
34. ICS (2007) Port and Terminal Operations and Management. The institute of chartered Shipbrokers, UK.
35. IMO, International Maritime Organisation (2002) Guidelines for Formal Safety Assessment (FSA) for use in the IMO Rule-Making Process, MSC/Circ. 1023 and MEPC/Circ. 392, 5 April 2002.
36. IRM, The Institute of Risk Management (2002) A standard for risk management. .
37. C. Kahraman Capital budgeting techniques using discounted fuzzy cash flows D. Ruan, J. Kacprzyk, M. Fedrizzi, Soft computing for risk valuation and management: Applications in technology, environment and finance 2001 Physica-Verlag Heidelberg 375 396
38. A. Kaufmann, and M.M. Gupta Introduction to fuzzy arithmetic: Theory and applications 1985 Van Nostrand Reinhold New York
39. F.I. Khan, and M.M. Haddara Risk-based maintenance: A quantitative approach for maintenance/inspection scheduling and planning Journal of Loss Prevention in the Process Industries 16 2003 561 573
40. F.I. Khan, R. Sadiq, and T. Husain Risk-based process safety assessment and control measures design for offshore process facilities Journal of Hazardous Materials 94 2002 1 32
41. G.J. Klir, and B. Yuan Fuzzy sets and fuzzy logic: Theory and application 1995 Prentice Hall New Jersey
42. K. Krishnasamy, and M. Haddara Development of a risk-based maintenance (RBM) strategy for a power-generation plant Journal of Loss Prevention in the Process Industries 18 2005 69 81
43. Kristiansen, S.; Koster, E.; Schmidt, W. F.; Olofsson, M.; Soares, G. C. & Caridis, P. A. (1999). A new methodology for marine casualty analysis accounting for human and organizational factors. In Proceedings of International Conference on Learning Mar Incidents, London. 20-21 October. Paper 14 (pp. 1-14).
44. C.K. Law Using fuzzy numbers in educational grading system Fuzzy Sets and Systems 83 1996 311 323
45. H.M. Lee Group decision making fuzzy set theory for evaluating the rate of aggregative risk in software development Fuzzy Sets and Systems 80 1996 261 271
46. H.M. Lee Applying fuzzy set theory for evaluating the rate of aggregative risk in software development Fuzzy Sets and Systems 80 1996 323 336
47. Li, H. (2007). Hieratical risk assessment of water supply systems. Ph.D. Thesis.
48. Y. Li, and X. Liao Decision support for risk analysis on dynamic alliance Decision Support Systems 42 2007 2043 2059
49. C.P. Liu, G.S. Liang, C.W. Chu, and Y. Su Establishing marine accident classification: a case study in Taiwan Journal of the Eastern Asia Society for Transportation Studies 6 3 2005 952 967
50. Loosemore, M.; Raftery, J.; Reilly, C.; Higgon, D. (2006). Risk management in projects. 2nd ed. IBSN:0 415 26055 8.
51. Lopez de Mantaras, L. (1990). Aproximate Reasoning Models. Ellis Horwood Series in Artificial Intelligence, 1990, U.K.
52. NE P&I Club (2008) an introduction to P&I insurance and loss prevention. Loss prevention guide.
53. NE P&I Club (2010) Available at: Accessed on: 20.05.2010.
54. H.T. Nguyen, and E.A. Walker A first course in fuzzy logic 2000 Chapman and Hall/CRC Florida
55. OCG, Office of Government Commerce, UK. (2002) Management of risk: Guidance for Practitioners. London, The Stationery Office. IBSN: 0113309090.
56. A. Otterland, and B. Roos The human factors in shipwrecks and other accidents to ships Analysis of an official Swedish series. Brit. J. Per. Soc. Med.*** 14 1960 49 56
57. Pillay, A.; Wang, J.; (2003). Technology and safety of marine system. Elsevier ocean engineering book series. ISBN: 0 08 0441483.
58. PMO, Ports and Maritime Organisation (2010) Available at: . Accessed on: 11.01.2010.
59. PMSC, Port Marine Safety Code (2001) Chichester harbour conservancy. 1st Dec.2001.
60. PRA, Port Risk Assessment. Port Morgan (2010) Port Risk Assessment Morgan City, LA. Available at: . Accessed on 20.03.2010.
61. PRA, Port Risk Assessment. Port of Coos Bay (2010) Port Risk Assessment Port of Coos Bay Available at: Accessed on 20.03.2010.
62. Pronk, J. P. (1993). Address to Pacem in Maribus XVIII, Ocean Yearbook, 10, Borgese et al.; The University of Chicago Press, Chicago, USA.
63. B. Roy, and D.D. Vanderpooten The European school of MCDA: Emergence, basic features, and current works European Journal on Operational Researsch 99 1 1997 26 27
64. J. Ren, I. Jenkinson, J. Wang, D.L. Xu, and J.B. Yang A methodology to model causal relationships on offshore safety assessment focusing on human and organisational factors Journal of Safety Research 39 1 2008 87 100
65. J. Ren, I. Jenkinson, J. Wang, D.L. Xu, and J.B. Yang An offshore risk analysis method using fuzzy Bayesian network Journal of Offshore Mechanics and Arctic Engineering 13 1 2009 041101-1-12
66. J. Ren, J. Wang, I. Jenkinson, D.L. Xu, and J.B. Yang A Bayesian network approach for offshore risk analysis through linguistic variables China Ocean Engineering 21 3 2007 371 388
67. T.L. Saaty The analytic hierarchy process 1988 Univ. Pittsburgh Pittsburgh, PA
68. R. Sadiq, Y. Kleiner, and B. Rajani Aggregative risk analysis for water quality failure in distribution networks Aqua-Journal of Water Supply: Research and Technology 53 2004 241 261
69. R. Sadiq, E. Saint-Martin, and Y. Kleiner Predicting risk of water quality failure in distribution networks under uncertainties using fault-tree analysis Urban water Journal 00 2008 1 18
70. C.G. Soares, and A.P. Teixiera Risk assessment in maritime transportation Reliability engineering and system safety 74 2001 299 309
71. M. Sonmez, B.J. Yang, and D.G. Holt Addressing the contractor selection problem using an evidential reasoning approach Engineering, Construction and Architectural Management 3 2001 198 210
72. T.J. Stewart A critical survey on the status of multiple criteria decision making theory and practice OMEGA International Journal of Management Science 20 5/6 1992 569 586
73. UKHSE, United Kingdom Health and Safety Executive (2010) Available at: Accessed on: 15.01.2010.
74. UNCTAD (1993) Sustainable Development for Ports, Report UNCTAD (SDD/Port) 1, 27/8, Geneva, Switzerland.
75. UNCTAD (2006) Maritime security: Elements of an analytical framework for compliance measurement and risk assessment.
76. United Nations, (1994) Earth Summit, Agenda 21. Programme of action from Rio, New York, USA.
77. United Nations, (1996) Gas emissions to be equal to those of 1990 till 2000 and to address greenhouse gases, Conference on Climate Change, New York, USA.
78. USCG, United States Cost Guard (2010) Guide to risk based decision making. Available at: Accessed on: 10.02.2010.
79. USDOD, United States Department of Defence (2000) Standard practice for system safety, MIL-STD-882D, February 2000.
80. USDOE, United States Department of Energy (1994) Standard 3011-94, guidance for preparation of DOE 5480.22 (TSR) and 5480.23 (SAR) Implementation Plans, DOE-STD-3011-94, November 1994.
81. USNRC, United States Nuclear Regulatory Commission (1986) 51 Federal Register 30028 et seq.; August 1986.
82. J. Wang, and J.B. Yang A subjective safety based decision making approach for evaluation of safety requirements specifications in software development Int. J. Reliab.; Qual.; Saf. Eng. 8 1 2001 35 57
83. J. Wang A subjective methodology for safety analysis of safety requirements specifications IEEE Transactions on Fuzzy Systems 5 1997 1 13
84. J. Wang, J.B. Yang, and P. Sen Safety analysis and synthesis using fuzzy sets and evidential reasoning Reliability Engineering and System Safety 47 1994 103 118
85. J. Wang, J.B. Yang, and P. Sen Multi-person and multi-attribute design evaluations using evidential reasoning based on subjective safety and cost analyses Reliability Engineering and System Safety 52 1996 113 128
86. Y.M. Wang, and T.M.S. Elhag Evidential reasoning approach for bridge condition assessment Expert systems with applications 34 2008 689 699
87. Ward, S. (2005). Risk management organization and context (p. 49).
88. World Bank (2007) The international bank for reconstruction and development. Port reform toolkit. 2nd ed.
89. J.B. Yang Rule and utility based evidential reasoning approach for multi-attribute decision analysis under uncertainties European journal of operational research 131 2001 31 61
90. Yang, J. B. & Dong, L. J. (2002). On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty. IEEE Transaction and Systems, Man, and Cybernetics.
91. J.B. Yang, and P. Sen A general multi-level evaluation process for hybrid MADM with uncertainty IEEE Transactions on Systems, Man, and Cybernetics 24 10 1994 1458 1473
92. J.B. Yang, and P. Sen Multiple attribute design evaluation of large engineering products using the evidential reasoning approach Journal of Engineering Design 8 3 1997 211 230
93. J.B. Yang, and M.G. Singh An evidential reasoning approach for multiple attribute decision making with uncertainty IEEE Transactions on Systems Man and Cybernetics 24 1 1994 1 18
94. Yang, J. B. & Xu, D. L. (1998). Knowledge-based executive car evaluation, using the evidential reasoning approach. In Taleb-Bendiab, & Zhao (Eds.), Advances in Manufacturing Technology XII, Baines (pp. 741-749). Professional Engineering, London, U.K.
95. J.B. Yang, and D.L. Xu On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty IEEE Transactions on Systems, Man and Cybernetics - Part A: Systems and Humans 32 2002 289 304
96. J.B. Yang, B.G. Dale, and Siow Self-assessment of excellence: An application of the evidential reasoning approach International Journal of Production Research 39 16 2001 3789 3812
97. T. Yang, and C.C. Hung Multiple-attribute decision-making methods for plant layout design problem Robotics and Computer-integrated manufacturing 23 2007 126 137
98. Young, B. (2001) 'The state of the union'. Pdl - Port Development International, April, (pp. 25-27).
99. R.R. Yager, L.S. Goldstein, and E. Mendels FUZMAR: An approach to aggregating market research data based on fuzzy reasoning Fuzzy Sets and Systems 68 1994 1 11
100. L.A. Zadeh Fuzzy Sets Information and Control 8 1965 338 353
101. J. Zeng, M. An, and N.J. Smith Application of a fuzzy based decision making methodology to construction project risk assessment International Journal of Project Management 25 2007 589 600
102. H.J. Zimmerman Fuzzy sets theory and its applications 1996 Kluwer academic publishers Boston