【摘要】：決策過程需要根據決策者的需求選擇出最合適的備選對象,多目標決策方法可以為這種選擇提供解決方案。本文在供應鏈金融、大數據、云計算的背景下,首次將指標權重及多目標規(guī)劃方法 MOORA和MOOSRA結合運用到電商平臺對融資企業(yè)的選擇研究中。對比研究發(fā)現(xiàn),這兩種方法的處理結果相同,并據此分析影響融資企業(yè)等級劃分的指標因素,證明此選擇模型的有效性,同時驗證了多目標規(guī)劃方法 MOORA和MOOSRA對融資企業(yè)的選擇問題中的適用性。
[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.
【作者單位】： 上海海事大學物流研究中心;
【基金】：國家自然科學基金項目“供應鏈采用RFID技術的融資決策與協(xié)調優(yōu)化”(項目編號:71601114) 上海市科委工程中心能力提升項目“自動化碼頭生產智能決策及關鍵技術研究”(項目編號:14DZ2280200)
【分類號】：F724.6
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本文編號：2219692