Featured risk evaluation of nautical navigational environment using a risk cloud model

References

• Abramowicz-Gerigk T, Burciu Z. 2014. Safety assessment of maritime transport-Bayesian risk-based approach in different fields of maritime transport. Developments in maritime transportation and exploitation of sea resources. Vol. 2 – Proceedings of 15th International Congress of the International Maritime Association of the Mediterranean (IMAM 2013); A Coruna, Spain. p. 699–703.
   Google Scholar
• Akyuz E, Celik E. 2018. The role of human factor in maritime environment risk assessment: A practical application on ballast water treatment (BWT) system in ship. Hum Ecol Risk Assess. 24(3):653–666.
   Web of Science ®Google Scholar
• Balmat JF, Lafont F, Maifret R, Pessel N. 2009. MAritime RISk Assessment (MARISA), a fuzzy approach to define an individual ship risk factor. Ocean Eng. 36(15):1278–1286.
   Web of Science ®Google Scholar
• Cao AX, Bao XX, Ren XB. 2017. Safety assessment of an aging offshore jacket platform by integrating analytic hierarchy process and grey clustering method. J Ship Mech. 21(3):339–351.
   Google Scholar
• Cao L, Liu Z, Zhang S. 2014. Research of quantitative marine individual risk model based on probability theory. Proceedings of 2014 5th International Conference on Intelligent Systems Design and Engineering Applications (ISDEA 2014); Jun 15–16; Zhangjiajie, China. p. 781–784.
   Google Scholar
• Chen CH, Jiao ZL, Jiang FC. 2013a. Navigational environmental risk evaluation of breakwater based on the analytic hierarchy process. Adv Mat Res. 779-780:1648–1653.
   Google Scholar
• Chen H, Liu BS, Weng GL. 2013b. Comprehensive risk assessment of shipping environment in Luoyuan Bay. Navigation of China. 36(4):86–91.
   Google Scholar
• Chen HZ, Yang LB, Wang SW, Yan XP. 2010. High-risk waters identification and evaluation in China coasts. J Dalian Maritime Univ. 36(2):42–46.
   Google Scholar
• Di KC, Li DR, Li DY. 1999. The cloud theory application in spatial data mining and knowledge discovery. J Image Graph. 4(11):929–935.
   Google Scholar
• Du XY, Yin QJ, Huang KL, Liang DN. 2008. Qualitative quantitative transformation method and application based on cloud model. Eng System Electr. 30(4):772–776.
   Google Scholar
• Fang MS. 2009. New ideas on Hangzhou Bay sea-crossing bridge against wind, anti-collision with ship and anti-corrosion. Proceedings of 2009 academic forum on durability of bridge and earthquake disaster reduction; May 12–13; Fuzhou, China. p. 16–22.
   Google Scholar
• Hu SP, Fang QG, Zhang JP. 2010. The coastal water traffic safety risk assessment studies. Navigation of China. 33(1):50–55.
   Google Scholar
• Hu SP, Huang CH, Zhang H. 2012. Cloud model-based simulation of system risk of marine traffic by Monte Carlo algorithm. China Safety Sci J. 22(4):20–26.
   Google Scholar
• Jiaxing MSA. 2011. Supervision and management rules of Jiaxing vessel traffic system.
   Google Scholar
• Khan B, Khan F, Veitch B, Yang M. 2018. An operational risk analysis tool to analyze marine transportation in Arctic waters. Reliab Eng Syst Safe. 169:485–502.
   Web of Science ®Google Scholar
• Kobylinski L. 2009. Risk analysis and human factor in prevention of CRG casualties. Int J Marine Navig Safe Sea Trans. 3(4):443–448.
   Google Scholar
• Li DY, Cheung D, Shi X, Ng V. 1998. Uncertainty reasoning based on cloud models in controllers. Comput Math Appl. 35(3):99–123.
   Web of Science ®Google Scholar
• Li DY, Liu CY. 2004. The universality of normal cloud. Chinese Eng Sci. 6(8):28–34.
   Google Scholar
• Li DY, Meng HJ, Shi XM. 1995. Membership cloud and cloud generator. Comput Res Dev. 32(6):16–18.
   Google Scholar
• Lv HJ, Wang Y, Li DY, Liu CY. 2003. The application of reverse cloud in the qualitative evaluation. Chin J Comput. 26(8):1009–1014.
   Google Scholar
• Liu HQ. 2011. Collision risk analysis of ship against Hangzhou Bay sea-crossing bridge. China Maritime Safety. (9):48–51.
   Google Scholar
• Lu F, Li W, Zhang H. 2015. Safety assessment of ship anchoring based on the extenics. J Dalian Maritime Univ. 41(1):10–14.
   Google Scholar
• Lv ZD. 2007. Research on the key technologies and their implementation for Hangzhou Bay sea-crossing bridge. Xi’an: Chang'an University.
   Google Scholar
• Mabrouki C, Bentaleb F, Mousrij A. 2014. A decision support methodology for risk management within a port terminal. Saf Sci. 63:124–132.
   Web of Science ®Google Scholar
• Mokhtari K, Ren J, Roberts C, Wang J. 2011. Application of a generic bow-tie based risk analysis framework on risk management of sea ports and offshore terminals. J Hazard Mater. 192(2):465–475.
   PubMed Web of Science ®Google Scholar
• Mokhtari K, Ren J, Roberts C, Wang J. 2012. Decision support framework for risk management on sea ports and terminals using fuzzy set theory and evidential reasoning approach. Expert Syst Appl. 39(5):5087–5103.
   Web of Science ®Google Scholar
• Pak J, Yeo G, Oh S, Yang Z. 2015. Port safety evaluation from a captain’s perspective: the Korean experience. Saf Sci. 72:172–181.
   Web of Science ®Google Scholar
• Ren SY. 2010. Evaluation of ship traffic control safety based on analytic hierarchy process. Proceedings of the 2010 International Conference on Intelligent Computation Technology and Automation; May 11–12; Changsha, China. p. 237–240.
   Google Scholar
• Riahi R, Robertson I, Bonsall S, Jenkinson I, Wang J. 2013. A proposed methodology for assessing the reduction of a seafarer's performance with insufficient recuperative rest. J Marine Eng Technol. 12(2):11–28.
   Web of Science ®Google Scholar
• Sahin B, Kum S. 2015. Risk assessment of Arctic navigation by using improved fuzzy-AHP approach. Int J Maritime Eng. 157(4):241–250.
   Google Scholar
• Sidek ARM, Prusty BG, Ray T. 2008. Determination of ship grounding and accident scenarios of a geographical area using risk analysis. Royal Institution of Naval Architects – International Maritime Conference, Pacific; Jan 29–31; Sydney, NSW, Australia. p. 249–258.
   Google Scholar
• Sii HS, Ruxton T, Wang J. 2001. A fuzzy-logic-based approach to qualitative safety modelling for marine systems. Reliab Eng Syst Saf. 73(1):19–34.
   Web of Science ®Google Scholar
• Sun C, Nie DR, Zhang JP, Hu SP. 2012. Risk assessment of navigation environment of Waigaoqiao waters. Navigation of China. 35(2):68–71.
   Google Scholar
• Tian Y, Sun X, Chen L, Huang L. 2017. Risk assessment of nautical navigational environment based on grey fixed weight cluster. Promet Traffic Transport. 29(3):331–342.
   Web of Science ®Google Scholar
• Tian YF, Huang LW. 2015. Risk evaluation of navigation environment of Yingongzhou channel based on single dimensional normal cloud model. Advances in Civil Engineering and Building Materials IV-Selected and Peer Reviewed Papers from the 2014 4th International Conference on Civil Engineering and Building Materials; Nov 15–16; Hong Kong, China. p. 137–140.
   Google Scholar
• Tseng KC, Hwang CS, Su YC. 2011. Using cloud model for default voting in collaborative filtering. J Converg Inf Technol. 6:68–74.
   Google Scholar
• Ventikos NP, Stavrou DI, Andritsopoulos A. 2017. Studying the marine accidents of the Aegean Sea: critical review, analysis and results. J Marine Eng Technol. 16(3):103–113.
   Web of Science ®Google Scholar
• Wang HL, Feng YQ. 2005. The scale judgment matrix's improvement analytical method based on cloud model. Chinese J Manag Sci. 13:32–37.
   Google Scholar
• Wang J, Xiao WJ, Wang SW. 2010. An improved effectiveness evaluation method based on cloud model. Fire Control Command Control. 35(3):97–99.
   Google Scholar
• Wang JQ, Liu T. 2012. Uncertain language evaluation based on comprehensive cloud. Control Decis. 27(8):185–190.
   Google Scholar
• Wang JS, Li MC, Liu YX, Zhang HX, Zou W, Cheng L. 2014. Safety assessment of shipping routes in the South China Sea based on the fuzzy analytic hierarchy process. Saf Sci. 62:46–57.
   Web of Science ®Google Scholar
• Wu QY, Fu YH, Jin YL. 2012. Test of anti-collision from a ship for the unnavigable section of Hangzhou Bay sea-crossing bridge. High Way. (4):128–133.
   Google Scholar
• Xie LJ, Chen Q. 2012. Aggregation operator selection in fuzzy comprehensive evaluation. Sci Technol Assoc Forum. (9):103–104.
   Google Scholar
• Xu J, Jin YL. 2002. Evaluation of navigation headroom and breadth limit of south sea-route of the Hangzhou Bay major bridge. Donghai Marine Sci. 20(4):42–49.
   Google Scholar
• Xuan SY, Li FM, Hu SP, Xi YT. 2013. The ship navigation risk assessment in Guangzhou port waters. Navigation of China. 36(4):96–99.
   Google Scholar
• Yang XJ, Yan LL, Zeng L. 2013. How to handle uncertainties in AHP: the cloud Delphi hierarchical analysis. Inf Sci (Ny). 222:384–404.
   Web of Science ®Google Scholar
• Yang ZL, Wang J, Bonsall S, Fang QG. 2009. Use of fuzzy evidential reasoning in maritime security assessment. Risk Anal. 29(1):95–120.
   PubMed Web of Science ®Google Scholar
• Yong LQ. 2011. A cloud-based model of multi-attribute decision making. Advances in Artificial Intelligence – Proceedings of 2011 International Conference on Management Science and Engineering; Sept 13–15; Rome, Italy. p. 438–444.
   Google Scholar
• Zhang D, Yan X, Zhang J, Yang Z, Wang J. 2016a. Use of fuzzy rule-based evidential reasoning approach in the navigational risk assessment of inland waterway transportation systems. Saf Sci. 82:352–360.
   Web of Science ®Google Scholar
• Zhang J, Teixeira AP, Guedes Soares C, Yan X, Liu K. 2016b. Maritime transportation risk assessment of Tianjin port with Bayesian belief networks. Risk Anal. 36(6):1171–1187.
   PubMed Web of Science ®Google Scholar
• Zhang XH, Liu ZJ, Jia CY. 2010a. A novel marine traffic safety assessment based on cloud models. Proceedings of the Second International Workshop on Education Technology and Computer Science; Mar 6–7; Wuhan, China. p. 60–63.
   Google Scholar
• Zhang XH, Liu ZJ, Wu ZL. 2010b. Cloud model based comprehensive evaluation of seafarers’ competency. Navigation of China. 33(4):65–70.
   Google Scholar
• Zhejiang MSA. 2008. Navigation safety management regulations for Hangzhou Bay sea-crossing bridge area (trial). Hangzhou: Zhejiang Maritime Safety Administration.
   Google Scholar
• Zhou ZY. 2015. Research on the safety assessment and countermeasures of Hangzhou Bay bridge navigation environment. Dalian: Dalian Maritime University.
   Google Scholar
• Zhu M, Wen YQ, Xiao CS, Hu QB. 2013. Comprehensive evaluation of LNG ship’s traffic adaptability based on cloud model. J Wuhan Univ Technol. 35(7):63–68.
   Google Scholar