Abstract：In order to investigate the influence mechanism of information risk on operation risk in maritime logistics, the data collection relevant to risk identification and risk frequency was carried out by literature review and questionnaire survey method respectively, and the association rule method based on soft set was used to mine the association between information risk and operation risk of maritime logistics. The research results show that information timeliness risk has a very strong effect on asset damage/loss risk; information security risk has a strong effect on merchandise damage/loss risk, asset damage/loss risk and personnel safety risk; information accuracy risk has a certain effect on the transportation delay risk and storage risk.
［1］ 吴雷.海上运输中合同和提单的风险及其防范［J］.对外经贸,2013(1):104-105.
WU Lei.Risks and precautions of contract and bill of lading in maritime transport［J］. Foreign Economic Relations & Trade, 2013(1): 104-105.
［2］ 周涂强，吴超仲，张笛，等.基于改进综合安全指数的水上交通安全评价［J］.中国航海,2015,38(2):69-73.
ZHOU Tuqiang，WU Chaozhong, ZHANG Di, et al. Waterway transportation safety assessment based on improved comprehensive safety index method［J］. Navigation of
China, 2015,38(2):69-73.
［3］ ALI C K. EMRE A, OZCAN A. Application of fuzzy fault tree analysis (FFTA) to maritime industry: A risk analyzing of ship mooring operation ［J］. Ocean
Engineering,2019,179(5):128-134.
［4］ ZHANG H Z, HSIEH C M, LUO Y L, et al. An investigation of cross-border e-commerce logistics and develop strategies through SCCOM framework and logistic
service risk analysis［J］ Advances in Transdisciplinary Engineering,2017(5):102-113.
［5］ CHANG C H, XU J J, SONG D P. An analysis of safety and security risks in container shipping operations: A case study of Taiwan ［J］. Safety Science,2014,63
(3):168-178.
［6］ PARTHIBARAJ C S, SUBRAMANIAN N, PALANIAPPAN,P L K, et al. Sustainable decision model for liner shipping industry［J］. Computers & Operations Research,
2018,89(1):213-229.
［7］ 贾晓惠，季文苑，郑满,等.“一站式”海运物流服务风险［J］.上海海事大学学报,2016,37(4):36-41+48.
JIA Xiaohui, JI Wenyuan,ZHENG Man, et al. Risks of one-stop maritime logistics service［J］. Journal of Shanghai Maritime University, 2016,37(4):36-41+48.
［8］ MOLODTSOV D. Soft set theory-First results ［J］. Computers & Mathematics with Applications,1999,37(4-5):19-31.
［9］ 申韬.基于软集合的小额贷款公司信用风险评估［J］.南方金融,2010(08):79-82.
SHENG Tao. Credit risk assessment of small loan companies based on soft set［J］. South China Finance, 2010(8):79-82.
［10］ PATRA K, MONDAL S K. A supplier selection model with fuzzy risk analysis using the balanced solution technique with a soft set ［J］. Pacific Science Review
A: Natural Science and Engineering, 2016, 18(3):162-168.
［11］ HERAWAN T, DERIS M M. A soft set approach for association rules mining［J］. Knowledge-Based Systems, 2011,24(1):186–195.
［12］ FENG F, CHO J, PEDRYCZ W, et al. Soft set based association rule mining［J］. Knowledge-Based Systems, 2016,111（1）：268-282.
［13］ 陈艳艳，郝世洋，陈宁等. 基于结构方程模型的共享自行车选择行为分析［J］. 重庆交通大学学报(自然科学版), 2019,38（5）：91-96.
CHEN Yanyan，HAO Shiyang，CHEN Ning, et al. Choice behavior of bike-sharing based on structural equation model ［J］. Journal of Chongqing Jiaotong University
(Natural Science), 2019,38（5）：91-96.
［14］ 袁彦彦，王兴芬，杨浩.基于关联规则技术的肉类食品冷链物流质量安全保障因素发现及质量安全预警模型［J］.物流技术,2015,34(21):182-185.
YUAN Yanyan, WANG Xingfen, YANG Hao. Quality and safety supporting factor discovery and forewarning model of meat product cold chain logistics based on association
rule mining technology［J］. Logistics Technology, 2015,34(21):182-185.
［15］ 戴小廷.关联规则数据挖掘算法及其在智能物流中的应用分析［J］.科技和产业,2014,14(2):113-116.
DAI Xiaoting. Analysis of association rule mining algorithm and its application in intelligent logistics ［J］. Science Technology and Industry, 2014, 14(2):113-
116.
2021, Vol. 40 
