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作 者:汪恒[1,2] 兰培真 WANG Heng;LAN Peizhen(Navigation College of Jimei University,Xiamen 361021,China;Marine Engineering College of Dalian Maritime University,Dalian 116026,China)
机构地区:[1]集美大学航海学院,福建厦门361021 [2]大连海事大学轮机工程学院,辽宁大连116026
出 处:《集美大学学报(自然科学版)》2020年第5期349-355,共7页Journal of Jimei University:Natural Science
摘 要:为了帮助物流业务外包企业选择合适的物流服务商,从服务质量、服务经济性、服务能力、企业形象和声誉、发展潜力5个因素出发,筛选准时交货率等19项指标,建立物流服务商评价指标体系。考虑评价信息的不确定性、模糊性及犹豫性等特征,构建基于区间直觉模糊集的评价与选择模型,利用加权算数平均算子实现评价信息集成,采用区间直觉模糊熵确定评价指标权重,通过区间直觉模糊集的相似度判定最优方案;最后,由算例进行实证分析。研究结果表明:该模型在物流服务商评价与选择方面具有较好的可靠性和适用性,评价结果能为外包企业选择物流服务商提供参考依据。In order to help logistics business outsourcing companies choose reasonable and effective logistics service providers,19 index factors such as“on-time delivery rate”are selected from the 5 aspects,including service quality,service economy,service capability,corporate image and reputation,development potential,then a logistics service provider evaluation index system is established.Considering the characteristics of uncertainty,ambiguity and hesitation of evaluation information,an evaluation and selection model based on interval-valued intuitionistic fuzzy sets should be constructed,which can integrate the evaluation information by IIWAA operator,calculate the weight of evaluation index by interval-valued intuitionistic fuzzy entropy,and determine the optimal solution by the similarity of two interval-valued intuitionistic fuzzy sets.Finally,it will be verified by practical calculation examples.The research indicates that the model has good reliability and applicability in the evaluation and selection of logistics service provides and the evaluation results can provide a reference basis for outsourcing enterprises to select logistics service provides.
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