模糊集对分析模型在交通事故工伤保险认定中的应用

The Application of Fuzzy Set Pair Analysis Model for Identifying Liability for Injury in Traffic Accidents at Work

交通事故工伤认定是我国工伤保险实践的重要组成部分。交通事故认定的影响因子在工作属性、责任属性、主观过错等方面往往存在相当程度的复杂性和模糊性,集确定性与不确定性于一体,极易造成工伤性质认定不精确,损害相关人员权益。文章结合模糊数学和集对分析的方法,构建改进的模糊集对分析模型,研究交通事故工伤认定的同异反联系度及综合特征值,并通过集对势分析事故的系统特征,从规范量化的角度建立交通事故工伤认定的科学方法。研究发现:同异反联系数系统描述了交通事故中与工伤认定标准一致的指标、相反的指标、以及模糊难以判断的指标三类因子对工伤认定结果的影响度;综合特征值从量的角度刻画了交通事故工伤性质的隶属度;集对势清晰反映了交通事故工伤认定结论的结构和可靠性。

The identification of liability for injury in traffic accidents at work is an important part of work-related injury insurance coverage in China.The factors involved inassessing traffic accident are often complex and ambiguous to a certain extent in terms of work attribute,accountability attribute and subjective fault,etc.,which are integrated with certainty and uncertainty,easily causing imprecise identification of the nature of work-related injury and damaging interests of the stakeholders.Combining fuzzy mathematics and set pair analysis methods,this paper constructs an improved fuzzy set pair analysis model,studies the similarity,difference and inverse relation degree and comprehensive eigenvalue of identifying liability for injury in traffic accidents at work,and through the set pair potential analysis of the systematic characteristics of accidents,and to establish a scientific method of identifying liability for injury in traffic accidents at work from the perspective of standardization and quantification.It is found that the similarity-difference-inverse connection number system describes the degree of influence of three factors ,i.e.index,fuzziness index and non-standard index,on the outcome of identifying liability for injury in traffic accidents at work.The comprehensive eigenvalues characterize the membership degree of the nature of injury in a on-the job traffic accident from the perspective of quantity.The set-pair potential clearly reflects the structure and reliability of the conclusion of work-related injury in a traffic accident.