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基于MOORA和MOOSRA的電商平臺(tái)對(duì)融資企業(yè)選擇對(duì)比分析

發(fā)布時(shí)間:2018-09-03 10:20
【摘要】:決策過程需要根據(jù)決策者的需求選擇出最合適的備選對(duì)象,多目標(biāo)決策方法可以為這種選擇提供解決方案。本文在供應(yīng)鏈金融、大數(shù)據(jù)、云計(jì)算的背景下,首次將指標(biāo)權(quán)重及多目標(biāo)規(guī)劃方法 MOORA和MOOSRA結(jié)合運(yùn)用到電商平臺(tái)對(duì)融資企業(yè)的選擇研究中。對(duì)比研究發(fā)現(xiàn),這兩種方法的處理結(jié)果相同,并據(jù)此分析影響融資企業(yè)等級(jí)劃分的指標(biāo)因素,證明此選擇模型的有效性,同時(shí)驗(yàn)證了多目標(biāo)規(guī)劃方法 MOORA和MOOSRA對(duì)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(xué)物流研究中心;
【基金】:國(guó)家自然科學(xué)基金項(xiàng)目“供應(yīng)鏈采用RFID技術(shù)的融資決策與協(xié)調(diào)優(yōu)化”(項(xiàng)目編號(hào):71601114) 上海市科委工程中心能力提升項(xiàng)目“自動(dòng)化碼頭生產(chǎn)智能決策及關(guān)鍵技術(shù)研究”(項(xiàng)目編號(hào):14DZ2280200)
【分類號(hào)】:F724.6
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本文編號(hào):2219692

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