Selection model of risk control option based on dominance degree
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摘要: 分析了单一参照指标选择风险控制方案存在的片面性, 考虑样本在指标上的序关系及其差异程度, 提出了基于优势度的风险控制方案多参照指标选择模型。模型中充分利用了数据所包含的信息, 实现了专家主观因素与数据客观规律相结合的功能, 并可通过调整权重向量突出某个指标在排序中的作用。以国际海事组织的油船和普通杂货船综合安全评估报告提供的风险控制方案为例, 采用模型进行方案优选。分析结果表明: 在各种权重向量下, 算例1中方案2、5、6和算例2中方案1、2、3、6、13的优势度都较大, 属于比较理想的方案; 算例2中方案的优势度随着总灾难转移费用的不断增加而逐渐减小, 总灾难转移费用可作为风险控制方案的优先选择指标。可见, 模型具有较强的适应性。Abstract: The one-sidedness in selecting risk control option (RCO) with reference to single index was analyzed, and a multi-index selection model of RCOs based on dominance degree was proposed by considering the ranking and difference degrees of samples on indexes. The model combined the subjective factors of experts and data objectivity by fully employing information contained in data, and highlighted the function of certain index in the ranking of RCOs by adjusting weight vectors. RCOs in formal safety assessment reports on oil tankers and general cargo ships submitted to International Maritime Organization were taken as examples, and the model was applied in RCO optimization. Analysis result shows that the options 2, 5, 6 in example 1 have higher dominance degrees under all weight vectors, and the same is true of options 1, 2, 3, 6, 13 in example 2, and these RCOs are ideal options. The dominance degrees of options in example 2 decrease gradually with the increasing of gross cost of averting a facility (GCAF), and GCAF can be taken as a preferred selection index of RCOs. So the model has higher adaptability.
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Key words:
- traffic safety /
- risk control option /
- dominance degree /
- formal safety assessment /
- decision-making model /
- entropy
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表 1 算例1风险控制方案
Table 1. Risk control options of example 1

表 2 风险控制方案在指标5、6、7上的优势度
Table 2. Dominance degrees of risk control options on indexes 5, 6, 7

表 3 不同权重下方案的综合优势度
Table 3. Composite dominance degrees of options with different weights

表 4 算例2风险控制方案
Table 4. Risk control options of example 2

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[1] 刘正江, 王逢辰, 夏国忠. 综合安全评估(FSA) 回顾、发展及对策[C]//中国航海学会. 中国航海学会2006年度学术交流会优秀论文集. 北京: 中国航海学会, 2007: 58-64.LIU Zheng-jiang, WANG Feng-chen, XIA Guo-zhong. Review, development and countermeasure of FSA[C]//China Institute of Navigation. Excellent Papers Collection for the Annual Symposium of 2006 by China Institute of Navigation. Beijing: China Institute of Navigation, 2007: 58-64. (in Chinese) [2] IMO. Possible improvements on FSA guidelines[R]. London: IMO, 2006. [3] 蔡垚. 综合安全评估关键技术研究[D]. 大连: 大连海事大学, 2010.CAI Yao. Key models' study of formal safety assessment[D]. Dalian: Dalian Mariti me University, 2010. (in Chinese) [4] IMO. Consolidated text of the guidelines for formal safety assessment (FSA) for use in the I MO rule-making process (MSC/Circ. 1023-MEPC/Circ. 392)[R]. London: IMO, 2007. [5] 鲍君忠, 刘正江. 普通杂货船安全状况研究[J]. 中国航海, 2010, 33 (1): 56-70. http://www.cnki.com.cn/Article/CJFDTOTAL-ZGHH201001015.htmBAO Jun-zhong, LIU Zheng-jiang. Study of the safety status of general cargo ship[J]. Navigation of China, 2010, 33 (1): 56-70. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-ZGHH201001015.htm [6] IMO. Report of the mariti me safety committee on its eightyseventh session[R]. London: IMO, 2010. [7] IMO. Report of the marine environment protection committeeonits sixtieth session[R]. London: IMO, 2010. [8] IMO. FSA-crude oil tankers[R]. London: IMO, 2008. [9] 李光明, 殷国富, 要小鹏. 基于优势关系的质量功能展开中的顾客基本需求[J]. 计算机集成制造系统, 2010, 16 (5): 1061-1066. http://www.cnki.com.cn/Article/CJFDTOTAL-JSJJ201005027.htmLI Guang-ming, YIN Guo-fu, YAO Xiao-peng. Basic customer requirements in quality function deployment based on dominance relation[J]. Computer Integrated Manufacturing Systems, 2010, 16 (5): 1061-1066. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-JSJJ201005027.htm [10] 孔媛媛. 基于优势关系粗糙集的空袭兵器判别[J]. 现代电子技术, 2009 (22): 29-31. doi: 10.3969/j.issn.1004-373X.2009.22.010KONG Yuan-yuan. Dominance-based rough set approach to air-attack weapons identification[J]. Modern Electronics Technique, 2009 (22): 29-31. (in Chinese) doi: 10.3969/j.issn.1004-373X.2009.22.010 [11] 朱冰冰, 吴绍春, 王炜. 以优势关系为基础的粗糙集在地震数据挖掘中的应用[J]. 计算机应用, 2006, 26 (12): 3023-3026. http://www.cnki.com.cn/Article/CJFDTOTAL-JSJY200612073.htmZHU Bing-bing, WU Shao-chun, WANG Wei. Application of dominance rough set in seismology[J]. Computer Applications, 2006, 26 (12): 3023-3026. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-JSJY200612073.htm [12] 刘学生. 基于粗集的不确定多属性决策排序法的研究[D]. 大连: 大连理工大学, 2009.LIU Xue-sheng. Research on uncertain multiple attribute decision ranking based on rough sets[D]. Dalian: Dalian University of Technology, 2009. (in Chinese) [13] LIU Xiao-dong, PEDRYCZ W, CHAI Tian-you, et al. The development of fuzzy rough sets with the use of structures and algebras of axiomatic fuzzy sets[J]. IEEE Transactions on Knowledge and Data Engineering, 2009, 21 (3): 443-462. [14] 迟国泰, 王钰娟, 刘艳萍. 基于三角模糊熵的经济评价模型及副省级城市的实证研究[J]. 运筹与管理, 2010, 19 (5): 107-117. http://www.cnki.com.cn/Article/CJFDTOTAL-YCGL201005020.htmCHI Guo-tai, WANG Yu-juan, LIU Yan-ping. Economic assessment model based on fuzzy entropy and empirical analysis of sub-provincial cities[J]. Operations Research and Management Science, 2010, 19 (5): 107-117. (in Chinese) http://www.cnki.com.cn/Article/CJFDTOTAL-YCGL201005020.htm [15] IMO. IACS FSA study-steps 3 and 4 (risk control options andcost benefit assessment)[R]. London: IMO, 2010. -
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