A FSA based fuzzy DEMATEL approach for risk assessment of cargo ships at coasts and open seas of Turkey

Safety Science

Volumn 79, Issue , 2015, Pages 1-10

  Mentes, Ayhan ^a   Akyildiz, Hakan ^a   Yetkin, Murat ^a   Turkoglu, Nagihan ^a  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Cargo ship safety; Decision making trial and evaluation laboratory technique; Formal safety assessment; Fuzzy set theory; Weighted aggregation operators

Indexed keywords

AIRSHIPS; DECISION MAKING; DECISION SUPPORT SYSTEMS; DECISION THEORY; FUZZY SET THEORY; FUZZY SETS; MATHEMATICAL OPERATORS; RISK ANALYSIS; SAFETY ENGINEERING; SET THEORY; SHIPS;

AGGREGATION OPERATOR; CARGO SHIPS; DECISION MAKING TRIAL AND EVALUATION LABORATORIES; DECISION MAKING TRIAL AND EVALUATION LABORATORY TECHNIQUES (DEMATEL); ENGINEERING APPLICATIONS; FORMAL SAFETY ASSESSMENT; GEOGRAPHICAL LOCATIONS; INTEGRATED METHODOLOGY;

RISK ASSESSMENT;

ARTICLE; CARGO SHIP; DECISION MAKING TRIAL AND EVALUATION LABORATORY TECHNIQUE; DECISION SUPPORT SYSTEM; FORMAL SAFETY ASSESSMENT; FUZZY LOGIC; FUZZY SET THEORY; GEOGRAPHIC DISTRIBUTION; HUMAN; MATHEMATICAL ANALYSIS; ORDERED WEIGHTED GEOMETRIC AVERAGING OPERATOR; PRIORITY JOURNAL; RISK ASSESSMENT; RISK REDUCTION; SEA; SEASHORE; SHIP; SHIPPING; TRAFFIC ACCIDENT; TRAFFIC SAFETY; TURKEY (REPUBLIC);

EID: 84930209031     PISSN: 09257535     EISSN: 18791042     Source Type: Journal    
DOI: 10.1016/j.ssci.2015.05.004     Document Type: Article

References (51)

1. Alizadeh S., Ghazanfari M., Fathian M. Using data mining for learning and clustering FCM. World Acad. Sci. Eng. Technol. 2008, 18:846-853.
2. Al-Najjar, B., Alsyouf, I., 2003. Just in time maintenance: A way to improve companies' competitiveness. In: Conference Business Excellence, University of Minho, 596-603, Portugal.
3. Aven T., Erik Vinnem J. On the use of risk acceptance criteria in the offshore oil and gas industry. Reliab. Eng. Syst. Safety 2005, 90(1):15-24.
4. Bass S.J., Kwakernaak H. Rating and ranking of multi-aspects alternatives using fuzzy sets. Automatica 1977, 13:47-58.
5. Bellman R.E., Zadeh L.E. Decision-making in a fuzzy environment. Manage. Sci. 1970, 17:212-223.
6. Chang K.-Hu. Evaluate the orderings of risk for failure problems using a more general RPN methodology. Microelectron. Reliab. 2009, 49(12):1586-1596.
7. Chang K.-H., Chang Y.-C., Wen T.-C., Cheng C.-H. An innovative approach integrating 2-tuple and lowga operators in process failure mode and effects analysis. Int. J. Innov. Comput. Inform. Control 2012, 8(1):747-761.
8. Cheng C.-H. A new approach for ranking fuzzy numbers by distance method. Fuzzy Sets Syst. 1998, 95(3):307-317.
9. Fang Q.G., Yang Z.L., Hu S.P., Wang J. Formal safety assessment and application of the navigation simulators for preventing human error in ship operations. J. Mar. Sci. Appl. 2005, 4(3):5-12.
10. Fuller R., Majlender P. An analytic approach for obtaining maximal entropy OWA operator weights. Fuzzy Sets Syst. 2001, 124:53-57.
11. Gabus A., Fontela E. World Problems an Invitation to Further Thought within the Framework of DEMATEL 1972, Battelle Geneva Research Centre, Switzerland, Geneva.
12. Gabus, A., Fontela, E., 1973. Perceptions of the World Problematique: Communication Procedure, Communicating with those Bearing Collective Responsibility.
13. Guedes Soares C., Teixeira A.P. Risk assessment in maritime transportation. Reliab. Eng. Syst. Safety 2001, 74(3):299-309.
14. Henley E.J., Kumamoto H. Probabilistic Risk Assessment 1992, IEEE, New York.
15. Hu S., Fang Q., Xia H., Xi Y. Formal safety assessment based on relative risks model in ship navigation. Reliab. Eng. Syst. Safety 2007, 92:369-377.
16. IMO, 1995. Formal Safety Assessment (FSA). UK Submission to the Maritime Safety Committee, MSC/65/24/2, London, UK.
17. IMO, 1997. Interim Guidelines for the Application of Formal Safety Assessment to the IMO Rulemaking Process. IMO/MSC circular 829, London.
18. IMO, 2002. Guidelines on the Application of Formal Safety Assessment (FSA) the IMO rule-maki process. MSC/Circular 1023, MEPC/Circular 392.
19. IMO, 2007. Formal Safety Assessment (FSA). MSC 83.
20. Jiunn I.S., Wub H., Huang K. A DEMATEL method in identifying key success factors of hospital service quality. Knowl. Based Syst. 2010, 23:277-282.
21. Kahraman C., Gulbay M., Kabak O. Applications of fuzzy sets in industrial engineering: a topical classification. Studies in Fuzziness and Soft Computing 2006, vol. 201:1-55. Springer, Berlin/Heidelberg.
22. Klir G.J., Yuan B. Fuzzy Sets and Fuzzy Logic: Theory and Applications 1995, Prentice-Hall, Eaglewood Cliffs, NJ.
23. Kontovas, C.A., Psaraftis, H.N., 2006. Formal safety assessment: A critical review and ways to strengthen it and make it more transparent. NTUA-MT-06-102, School of Naval Architecture and Marine Engineering National Technical University of Athens Greece.
24. Kontovas C.A., Psaraftis H.N. Formal safety assessment: a critical review. Mar. Technol. 2009, 46(1):45-59.
25. Kristiansen, S., Soma, T., 2001. Formal safety assessment of commercial ships-status and unresolved problems. In: Proceedings of the European Conference on Safety and Reliability, Politecnico di Torino, Italy, vol. 3, pp. 1651-1658.
26. Lee J.O., Yeo I.C., Yang Y.S. A trial application of FSA methodology to the hatchway watertight integrity of bulk carriers. Mar. Struct. 2001, 14:651-667.
27. Liaw C.S., Chang Y., Chang K.H., Chang T. ME-OWA based DEMATEL reliability apportionment method. Expert Syst. Appl. 2011, 38:9713-9723.
28. Lois P., Wang J., Wall A., Ruxton T. Formal safety assessment of cruise ships. Tourism Manage. 2004, 25:93-109.
29. Lootsma F.A. Fuzzy Logic for Planning and Decision Making 1997, Kluwer Academic Publisher, Dordrecht.
30. Marine Safety Agency (MSA), 1993. Formal Safety Assessment. Submitted by the United Kingdom to IMO Maritime Safety Committee. IMO/MSC 66/14.
31. Roberts S.E., Marlow P.B. Casualties in dry bulk shipping (1963-1996). Mar. Policy 2002, 26:437-450.
32. Seyed-Hosseini S.M., Safaei N., Asgharpour M.J. Reprioritization of failures in a system failure mode and effects analysis by decision making trial and evaluation laboratory technique. Reliab. Eng. Syst. Safety 2006, 91(8):872-881.
33. Sii H.S., Ruxton T., Wang J. A fuzzy-logic-based approach to qualitative safety modelling for marine systems. Reliab. Eng. Syst. Safety 2001, 73(1):19-34.
34. Turkish Under Secretariat of Maritime Affairs, 2014. I˙stanbul. http://www.denizcilik.gov.tr/denizkaza/yayin/yil.asp.
35. Vanem, E., Puisa, R., Skjong, R., 2009. Standardized risk models for formal safety assessment of maritime transportation. In: Proceedings of the ASME 2009 28th International Conference on Ocean, Offshore and Arctic Engineering OMAE2009, Hawaii, USA.
36. Wang J. A subjective modelling tool applied to formal ship safety assessment. Ocean Eng. 2000, 27:1019-1035.
37. Wang J. The current status and future aspects in formal ship safety assessment. Saf. Sci. 2001, 38:19-30.
38. Wang J. Offshore safety case approach and formal safety assessment of ships. J. Safety Res. 2002, 33:81-115.
39. Wang J., Foinikis P. Formal safety assessment of containerships. Mar. Policy 2001, 25:143-157.
40. Wang J., Sii H.S., Yang J.B., Pillay A., Maistralis E., Saajedi Use of advances in technology in marine risk assessment. Risk Anal. 2004, 24(4):1011-1033.
41. Wang, W., Lin, Y.H., Lin, C.H., Chung, C.H., Lee, M.T., 2012. DEMATEL-based model to improve the performance in a matrix organization. Expert Syst Appl.
42. Wu W., Lee Y.T. Developing global managers' competencies using the fuzzy DEMATEL method. Expert Syst. Appl. 2007, 32(2):499-507.
43. Xu Z.S., Da Q.L. An overview of operators for aggregating information. Int. J. Intell. Syst. 2003, 18(9):953-969.
44. Yager R.R. Fuzzy decision making including unequal objectives. Fuzzy Sets Syst. 1978, 1:87-95.
45. Yager R.R. On ordered weighted averaging aggregation operators in multicriteria decision making. IEEE Trans. Syst. Man Cybern. 1988, 18:183-190.
46. Yager R.R., Basson D. Decision-making with fuzzy sets. Decision Sci. 1975, 6:590-600.
47. Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice 2011, Springer, Berlin. R.R. Yager, J. Kacprzyk, G. Beliakov (Eds.).
48. Yang Y.P., Shieh H.M., Tzeng G.H. A VIKOR technique based on DEMATEL and ANP for information security risk control assessment. Inform. Sci. 2013, 232:482-500.
49. Zadeh L.A. Fuzzy sets. Inf. Control 1965, 8:338-353.
50. Zhang, D., Yan, X., Yang, Z., Wang, J., 2011. Application of formal safety assessment to navigational risk evaluation of Yangtze River. In: Proceedings of the ASME 2011, 30th International Conference on Ocean, Offshore and Arctic Engineering OMAE2011-50186, Rotterdam, the Netherlands.
51. Zimmermann H.J. Fuzzy Set Theory and its Applications 1996, Kluwer, Massachusetts.