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Promet - Traffic&Transportation journal

Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

PUBLISHED
28.06.2017
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Copyright (c) 2024 Yanfei Tian, Xuecheng Sun, Lijia Chen, Liwen Huang

Risk Assessment of Nautical Navigational Environment Based on Grey Fixed Weight Cluster

Authors:Yanfei Tian, Xuecheng Sun, Lijia Chen, Liwen Huang

Abstract

In order to set up a mathematical model suitable for nautical navigational environment risk evaluation and systematically master the navigational environment risk characteristics of the Qiongzhou Strait in a quantitative way, a risk assessment model with approach steps is set up based on the grey fixed weight cluster (GFWC). The evaluation index system is structured scientifically through both literature review and expert investigation. The relative weight of each index is designed to be obtained via fuzzy analytic hierarchy process (FAHP); Index membership degree of every grey class is proposed to be achieved by fuzzy statistics (FS) to avoid the difficulty of building whiten weight functions. By using the model, nautical navigational environment risk of the Qiongzhou Strait is determined at a “moderate” level according to the principle of maximum membership degree. The comprehensive risk evaluation of the Qiongzhou Strait nautical navigational environment can provide theoretical reference for implementing targeted risk control measures. It shows that the constructed GFWC risk assessment model as well as the presented steps are workable in case of incomplete information. The proposed strategy can excavate the collected experts’ knowledge mathematically, quantify the weight of each index and risk level, and finally lead to a comprehensive risk evaluation result. Besides, the adoptions of probability and statistic theory, fuzzy theory, aiming at solving the bottlenecks in case of uncertainty, will give the model a better adaptability and executability.

Keywords:nautical navigational environment, risk evaluation, grey fixed weight cluster, fuzzy analytic hierarchy process, fuzzy statistic,

References

  1. Zhang JF, Yan XP, Zhang D, et al. Safety management performance assessment for Maritime Safety Administration (MSA) by using generalized belief rule base methodology. Safety Science. 2014;63:157-167.

    Hu SP, Fang QG, Zhang JP, et al. Risk Assessment of Marine Traffic Safety in Coastal Water Area. Navigation of China. 2010;33(1):50-55. [in Chinese with English abstract]

    Xuan YS, Li FM, Hu SP, et al. Risk Assessment of Ship Navigation in Guangzhou Harbor. Navigation of China. 2013;36(4):96-99. [in Chinese with English abstract]

    Mi CM, Liu SF, Dang YG, et al. Study on grey entropy weight clustering decision-making. Systems Engineering and Electronics. 2006;28(12):1823-1844. [in Chinese with English abstract]

    Gong ZW, Forrest JYL. Special issue on meteorological disaster risk analysis and assessment: on basis of grey systems theory. Natural Hazards. 2014;71(2):995-1000.

    Deng JL. Control problems of unknown system. Recent Developments in Control Theory & Its Application – Proceedings of the Bilateral Meeting on Control Systems; 1981 Aug 10-12; Shanghai, China; 1982. p. 156-171.

    Deng JL. Control Problems of grey systems. Systems and Control Letters. 1982;1(5):288-294.

    Deng JL. The Grey Control System. Journal of Huazhong Institute of Technology. 1982;10(3):9-18. [in Chinese with English abstract]

    Shao M, Gong Z, Xu X. Risk assessment of rainstorm and flood disasters in China between 2004 and 2009 based on gray fixed weight cluster analysis. Natural Hazards. 2014;71(2):1025-1052.

    Xie NM, Liu SF, Zhan HB. On the selection of international cooperation key-technology projects based on grey cluster model. Proceedings of the 4th IEEE International Conference on Grey Systems and Intelligent Services; 2013 Nov 15-17; Macau, China; 2013. p. 366-370.

    Luo XW, Shu ZQ, Li J. Comprehensive Evaluation on Performance of PSA Blended Fabrics. Advanced Materials Research. 2013;821-822:317-320.

    Hu J, Xu LZ, Zhang JS. Modified grey clustering model on air quality assessment. Journal of Fujian Normal University (Natural Science Edition). 2012;28(1):49-54. [in Chinese with English abstract]

    He LJ, Huang HK, Dong XY. GTrust: A Distributed Trust Model in Multi-Agent Systems Based on Grey System Theory. Lecture Notes in Computer Science; 2011. p. 274-279.

    Li YF, Mou HH, Lv K. Gray Clustering Evaluation Method of MIE on Combinative Weight-Fixing. Key Engineering Materials. 2011;455:369-372.

    Hua ET, Cao WW, Chen Y, et al. A gray fixed cluster method based on the Dempster-shafer evidential theory. Proceedings of the 2011 IEEE International Conference on Electronics, Communications and Control; 2011 Sep 9-11; Ningbo, China; 2011. p. 3482-3485.

    Tang JJ, Li CC. Post-evaluation method of highway meteorological disaster in flood seasons based on grey clustering and AHP. Highway. 2011;1:171-176. [in Chinese with English abstract]

    Hu LM, Zhang CH, Hu CH, et al. Use of grey system for assessment of drinking water quality: a case study of Jiaozuo city, China. Proceedings of 2009 IEEE International Conference on Grey Systems and Intelligent Services; 2009 Nov 10-12; Nanjing, China; 2010. p. 803-808.

    Jiao JC, Ma SJ. Synthetical evaluation on the water quality of Yangtze River based on grey fuzzy clustering analysis. Journal of Nanyang Institute of Technology. 2010;2(4):94-97. [in Chinese with English abstract]

    Wang CL, Zhang JQ, Ning FG, et al. Grey Fixed Weight Clustering Method-Based Agricultural Drought Disaster Situations Assessment and Regionalization in Northwestern Liaoning Province. 2010 Chinese Perspective on Risk Analysis and Crisis Response – Proceedings of the 4th Annual Meeting of Risk Analysis Committee (RAC), China Association for Disaster Prevention; 2010 Aug 16-17; Changchun, China; 2010. p. 373-378.

    Zhang L, Chang J, Liu J, et al. Optimization Model of Whole Performances for Development Method Based on Gray Fixed Weight Clustering. Proceedings of the International Conference on Engineering and Business Management 2010; 2010 Mar 24-26; Chengdu China; 2010. p. 1671-1673.

    Hu X, Zhou J, Huang P. On the ferro-graphic characterisation of wear debris in tribological system by grey fixed weight clustering. International Journal of Surface Science & Engineering. 2010;4(4):448-464.

    Jian LR, Liu SF, Liu Y. The Selection of Regional Key Technology Based on the Hybrid Model of Grey Fixed Clustering and Variable Precision Rough Set. Proceedings of the 10th WSEAS International Conference on Systems Theory and Scientific Computation; 2010 Aug 20-22; Taipei, Taiwan; 2010. p. 54-59.

    Zhang FS, Diao ZF. Research on Grey Cluster Evaluation Model and its Application of University Core Competence. Proceedings of the 7th International Conference on Innovation & Management; 2010 Jul 7-10; Penang, Malaysia; 2010. p. 1828-1832.

    Zhu GP, Wang LG. Grey clustering decision-making evaluation on indoor air quality. Safety & Environmental Engineering. 2009;16(2):33–35. [in Chinese with English abstract]

    Ip WC, Hu BQ, Wong H, Xia J. Applications of grey relational method to river environment quality evaluation in China. Journal of Hydrology. 2009;379(3-4):284-290.

    Zhang GY, Li XH, Tan QM. The Evaluation and Analysis of Development Vigor of the Cities Located in Yangtze River Delta Area. Proceedings of the 2008 ISECS International Colloquium on Computing, Communication, Control, and Management; 2008 Aug 3-4; Guangzhou,

    China; 2008. p. 730-734.

    Wang WL, Wang DD. The Regional Clusters Analysis on Development Situation of R&D Industry in China. Advances in Management of Technology PT2 - Proceedings of the 2008 International Conference on Management of Technology; 2008 Aug 30-Sep 1; Taiyuan, China; 2008. p. 51-55.

    Zhang GY, Tan QM, Li XH. The Evaluation and Analysis of Development Vigor in Central Chinese Cities. Proceedings of the 5th International Conference on Innovation & Management; 2008 Dec 10-11; Maastricht, The Netherlands; 2008. p. 240-244.

    Li XH, Tan QM, Zhang GY. Urban Sustainable Development of the Yangtze River Delta Area. Proceedings of the 2008 International Conference on Information Management, Innovation Management and Industrial Engineering; 2008 Dec 19-21; Taipei, Taiwan; 2008. p.185-189.

    Lin LW, Chen CH, Chang HC, et al. Applying the grey assessment to the evaluation system of ecological green space on greening projects in Taiwan. Environmental Monitoring & Assessment. 2008;136(1-3):129-146.

    Wang YH, Dang YG, Wang ZX. Study on grey fixed weight clustering decision-making based on interval numbers. Proceedings of the 2007 IEEE International Conference on Grey Systems and Intelligent Services; 2007 Nov 18-20; Nanjing, China; 2007. p. 341-345.

    Zhang GY, Li XH, Tan QM. A study of sustainable development of Chinese central cities based on the grey fixed-weight clustering method. Proceedings of the 2007 IEEE International Conference on Grey Systems and Intelligent Services; 2007 Nov 18-20; Nanjing, China; 2007. p. 346-350.

    Nie XX, Liu AM, Liu SX. The application of grey clustering decision in determining the rational open-pit limit of mining. Proceedings of the 2007 IEEE International Conference on Grey Systems and Intelligent Services; 2007 Nov 18-20; Nanjing, China; 2007. p. 841-844.

    Mi CM, Liu SF, Dang YG, et al. Study on grey fixed weight clustering decision-making based on entropy weight. Proceedings of the 2006 IEEE International Conference on Systems, Man, and Cybernetics; 2006 Oct 8-11; Taipei, Taiwan; 2006. p. 461-465.

    Xu HG, Liu ZH, Wang C. Grey fixed weight clustering model and causal factor analysis for evaluation of road safety grade. Progress in Safety Science and Technology Vol VI - Proceedings of the 2006 International Symposium on Safety Science and Technology; 2006 Oct 24-27; Changsha, China; 2006. p. 2016-2021.

    [36] Li BJ, Liu SF. Studies on dynamic evaluating model for grey clustering and its application to a regional scientific-technical system. Proceedings of the 2005 IEEE International Conference Networking, Sensing and Control; 2005 Mar 19-22; Tucson, AZ, U.S.A.; 2005. p. 939-942.

    Liu ZB, Wang JS. Grey-clustering analysis of quality of underground water contaminated by leaching water in waste disposal area. Journal of Liaoning Technology University. 2004;23(3):423-425. [in Chinese with English abstract]

    Yu YW. Grey appraisal on the efficiency of China commercial banks. Proceedings of the 2003 International Conference on Management Science and Engineering; 2003 Aug 15-17; Atlanta, America; 2003. p. 1642-1646.

    He BF, Wang XY, He XJ, et al. Water quality evaluation method based on grey-clustering decision. Journal of Zhengzhou University (Engineering Science). 2002;23(1):10-13. [in Chinese with English abstract]

    Yuan HX, Wang NP, Shi D. Application of Delphi method for defining weights of the main influencing factors in submarine cabin air quality. Jouranal of Navy Medicine. 2004;25(4):295-297. [in Chinese with English

    abstract]

    Gong ZF. Method of paired comparison and its application in the research of psychology and education. Psychological Science. 2001;24(4):496. [in Chinese with English abstract]

    Saaty TL. The analytic hierarchy process. New York: McGraw-Hill Book Company; 1980.

    Buckley JJ. Fuzzy hierarchical analysis. Fuzzy Sets Systems. 1985;17:233-247.

    Saaty TL. Theory and Applications of the Analytic Network Process: Decision Making with Benefits, Opportunities, Costs, and Risks. Pittsburgh: RWS Publications; 2005.

    Hwang CL, Yoon K. Multiple attribute decision making - methods and applications: a state-of-the-art survey. Lecture Notes in Economics & Mathematical Systems. 1981;186:21-112.

    Chen J, Liu Q, Qian H. Application of improved Nemerow index method based on entropy weight for groundwater quality evaluation. International Journal of Environmental Sciences. 2012;2(3):1284-1290.

    Wang LM, Zhang L, Han XM, et al. An improved affinity propagation clustering algorithm based on entropy weight method and principal component analysis. International Journal of Database Theory and Application. 2016;9(6):27-238.

    Han XH. Determination method of index weight based on principal component analysis. Journal of Sichuan Ordnance. 2012;33(10):124-126. [in Chinese with English abstract]

    Luo ZZ, Zhang FY. Application of Principal Component Analysis Method in Calculating the Weights of the Indexes of the Highway Nodes’ Importance. Journal of Transportation Systems Engineering and Information Technology. 2005;5(6):78-81. [in Chinese with English abstract]

    Kahraman, C, Öztayşi, B, Sari İU, et al. Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Knowledge-Based Systems. 2014;59:48-57.

    Chen SJ, Hwang CL, Hwang FP. Fuzzy Multiple Attribute Decision Making: Methods and Applications. Berlin: Springer-Verlag; 1992.

    Zadeh LA. Fuzzy sets. Information & Control. 1965;8(3):338-353.

    Laarhoven PJM, Pedrycz W. A fuzzy extension of Saaty’s priority theory. Fuzzy Sets Systems. 1983;11:229-241.

    Tseng ML, Lin YH , Chiu AS, et al. Fuzzy AHP - approach to TQM strategy evaluation. Industrial Engineering & Management Systems. 2008;7(1):34-43.

    Zhang JJ. Fuzzy Analytical Hierarchy Process. Fuzzy Systems and Mathematics. 2000;14(2):80-88. [in Chinese with English abstract]

    Xu ZS. An algorithm for priority of fuzzy complementary judgement matrix. Journal of Systems Engineering. 2001;16(4):311-314. [in Chinese with English abstract]

    Yuan HQ, Yang Y, Fan JF, et al. Application of Fuzzy Analytic Hierarchy Process to Bridge State Comprehensive Assessment. Journal of Wuhan University of Technology (Transportation Science & Engineering). 2005;29(6):906-909. [in Chinese with English abstract]

    Tian YF, Sun XC. Risk evaluation index system of navigation environment of Qiongzhou strait based on FAHP. Proceedings of the 3rd International Conference on Transportation Information and Safety; 2015 Jun 25-28; Wuhan, China; 2015. p. 729-731.

    Center for Assessment and Monitoring of Forest and Environmental Resources, University of California at Berkeley: Fuzzy Statistics. [cited 2016 Nov 20]. Available from: http://nature.berkeley.edu/~penggong/textbook/chapter8/html/sect865.htm

    Yu XJ, Zhang ST, Ma L K. Research on Seasonal Floods Based on the Fuzzy Statistical and Fractal Methods. China Rural Water and Hydropower. 2009;(7):65-67+71. [in Chinese with English abstract]

    Chen SY, Wang SY, Wang GY, et al. Determination of relative dependence function of flood season by direct fuzzy statistic test. Advances in Science & Technology of Water Resources. 2003;20(1):5-7+69. [in Chinese with English abstract]

    Fan L, Lei YJ. Intuitionistic fuzzy statistic adjudging and decision making. Control and Decision. 2011;26(3):357-362. [in Chinese with English abstract]

    Wang QY, Wang XW, Xie LL, et al. Observed water current and transport through Qiongzhou Strait during August 2010. Chinese Journal of Oceanology and Limnology. 2014;32(3):703-708.

    Chen CL, Li PL, Shi MC, et al. Numerical study of the tides and residual currents in the Qiongzhou Strait. Chinese Journal of Oceanology and Limnology. 2009;27(4):931-942.

    Shi MC, Chen CS, Xu, QC, et al. The Role of Qiongzhou Strait in the Seasonal Variation of the South China Sea Circulation. Journal of Physical Oceanography. 2002;32(1):103-121.

    Xu XC, Xin JW, Liang GF, et al. Observation and Analysis of Sea Surface Wind over the Qiongzhou Strait. Journal of Tropical Meteorology. 2011;27(1):118-124. [in Chinese with English abstract]

    Wu ZL, Zhu J. Marine Traffic Engineering (second edition). Dalian: Dalian Maritime University Press; 2004.

    Dissemination of science: The concept of nautical navigational environment and its constituting elements. 2016 Jun 9 [cited 2016 Nov 20]. Available from: http://sanwen8.cn/p/132qBOI.html [in Chinese]

    Huang J. Comments on the oil spill emergency response ability of Qiongzhou Strait. World Shipping. 2013;36(3):15-17. [in Chinese]

    Li T. A Study on the problems of Qiongzhou Strait Traffic Management and Countermeasures [Master’s thesis]. Wuhan: Wuhan University of Technology; 2013. [in Chinese with English abstract]

    Liu ZM, Kang Z. Safety control of ships navigating in the Qiongzhou Strait in foggy weather. China Marine Safety. 2011;(2):28-30. [in Chinese]

    Zhu WH. The role of VTS in the safety of ship navigation in the Qiongzhou Strait. China Water Transport. 2009;9(8):58-59. [in Chinese]

    Sun C, Nie DR, Zhang JP, et al. Risk Assessment of Navigation Environment of Waigaoqiao Waters. Navigation of China. 2012;35(2):68-71. [in Chinese with English abstract]

    Chen H, Liu BS, Weng GL. Comprehensive Risk Assessment of shipping Environment in Luoyuan Bay. Navigation of China. 2013;36(4):86-91. [in Chinese with English abstract]

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