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作 者:耿秀丽[1] 谷玲玲 Geng Xiuli;Gu Lingling(Business School,University of Shanghai for Science of Technology,Shanghai 200093,China)
出 处:《计算机应用研究》2020年第5期1460-1464,共5页Application Research of Computers
基 金:国家自然科学基金资助项目(71301104);教育部人文社会科学研究规划基金资助项目(19YJA630021);高等学校博士学科点专项科研基金资助课题(20133120120002)。
摘 要:针对生鲜冷链物流服务质量评价信息高度冲突问题,采用改进的证据推理(evidence reasoning,ER)方法处理指标评估信息。首先,考虑各专家对生鲜冷链物流服务供应商的指标评估具有不确定性特点,提出采用ER方法处理每个供应商的指标评估信息;其次,考虑各专家对每个供应商的评估信息具有高度冲突问题,采用cosine相似函数衡量冲突变化程度,利用证据间的一致性计算证据权重,并对评估信息进行修正;然后,再运用证据推理方法集成修正后的供应商评估信息;最后以某企业选择生鲜冷链物流服务供应商为例进行分析,并将分析结果与对比方法计算的结果相对比。结果表明,所提方法能有效解决高度冲突问题,并能降低因冲突引起的不确定性。Aiming at the high conflict problem of fresh cold chain logistics service quality evaluation information,this paper used the improved evidence reasoning(ER)method to process the indicator evaluation information.Firstly,considering the uncertainty of the expert’s assessment of the indicators of the fresh cold chain logistics service providers,it used the ER method to process indicator evaluation information of each supplier.Secondly,it considered the evaluation information of each supplier by each expert had a high degree of conflict,and used the cosine similar function to measure the degree of conflict change.It used the evidence weights to calculate the weight of the evidence and corrected the evaluation information.Then,it used the evidence reasoning method to integrate the revised supplier evaluation information.Finally,this paper used an enterprise selected the fresh cold chain logistics service provider as an example for analysis,and compared the analysis results with the results calculated by the comparison method.The results show that the proposed method can effectively solve the high conflict problem and reduce the uncertainty caused by the conflict.
关 键 词:生鲜冷链物流 物流服务质量 证据推理 cosine相似函数
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