基于MOORA和MOOSRA的电商平台对融资企业选择对比分析
发布时间：2018-09-03 10:20
【摘要】：决策过程需要根据决策者的需求选择出最合适的备选对象,多目标决策方法可以为这种选择提供解决方案。本文在供应链金融、大数据、云计算的背景下,首次将指标权重及多目标规划方法 MOORA和MOOSRA结合运用到电商平台对融资企业的选择研究中。对比研究发现,这两种方法的处理结果相同,并据此分析影响融资企业等级划分的指标因素,证明此选择模型的有效性,同时验证了多目标规划方法 MOORA和MOOSRA对融资企业的选择问题中的适用性。
[Abstract]:The decision process needs to select the most suitable alternatives according to the needs of the decision makers, and the multi-objective decision making method can provide a solution for this choice. In the context of supply chain finance, big data and cloud computing, the index weight and multi-objective programming (MOORA) and multi-objective programming (MOOSRA) are used for the first time in the research on the selection of financing enterprises based on e-commerce platform. The comparative study shows that the results of the two methods are the same. Based on the analysis of the index factors affecting the classification of financing enterprises, the validity of the model is proved. At the same time, it verifies the applicability of MOORA and MOOSRA in the selection of financing enterprises.
【作者单位】： 上海海事大学物流研究中心;
【基金】：国家自然科学基金项目“供应链采用RFID技术的融资决策与协调优化”(项目编号:71601114) 上海市科委工程中心能力提升项目“自动化码头生产智能决策及关键技术研究”(项目编号:14DZ2280200)
【分类号】：F724.6
，
本文编号：2219692
[Abstract]:The decision process needs to select the most suitable alternatives according to the needs of the decision makers, and the multi-objective decision making method can provide a solution for this choice. In the context of supply chain finance, big data and cloud computing, the index weight and multi-objective programming (MOORA) and multi-objective programming (MOOSRA) are used for the first time in the research on the selection of financing enterprises based on e-commerce platform. The comparative study shows that the results of the two methods are the same. Based on the analysis of the index factors affecting the classification of financing enterprises, the validity of the model is proved. At the same time, it verifies the applicability of MOORA and MOOSRA in the selection of financing enterprises.
【作者单位】： 上海海事大学物流研究中心;
【基金】：国家自然科学基金项目“供应链采用RFID技术的融资决策与协调优化”(项目编号:71601114) 上海市科委工程中心能力提升项目“自动化码头生产智能决策及关键技术研究”(项目编号:14DZ2280200)
【分类号】：F724.6
，
本文编号：2219692
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