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An extension of MOORA approach for group decision making based on interval valued intuitionistic fuzzy numbers in digital supply chain

机译:MOORA方法在数字供应链中基于区间直觉模糊数的群决策方法的扩展。

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Digital Supply Chain (DSC) is an intelligent process that leverages innovative solutions with emerging technological means to generate new forms of revenue and business value for organizations. Stakeholders in supply chains, whether selling goods or services, do use, generate and share information with others. Interest in DSC is growing by both from academics and businesses. Supplier selection constitutes one of the crucial tasks from a supply chain digitalization perspective. This paper approaches the supplier selection problem in a DSC environment, which by its nature depends on many parameters. Therefore, a multi-criteria analysis and solution methodology is presented, which incorporates decision makers' insufficient knowledge and other pressures involved in the evaluation with the help of an extension of MOORA (Multi-objective Optimization by Ratio Analysis) ratio system approach. This method uses interval valued intuitionistic fuzzy numbers and a group decision making approach, which is demonstrated on a real case study to demonstrate the validity of the proposed approach for selecting suitable suppliers in DSC.
机译:数字供应链(DSC)是一个智能流程,它利用创新的解决方案和新兴的技术手段为组织创造新的收入和业务价值形式。供应链中的利益相关者,无论是销售商品还是服务,都可以使用,生成并与他人共享信息。学术界和企业界对DSC的兴趣都在增长。从供应链数字化的角度来看,供应商的选择是关键任务之一。本文研究了DSC环境中的供应商选择问题,该问题本质上取决于许多参数。因此,提出了一种多准则分析和解决方法,该方法结合了决策者的知识不足和评估所涉及的其他压力,并借助MOORA(比率分析多目标优化)比率系统方法的扩展。该方法使用区间直觉模糊数和群决策方法,该方法在实际案例中得到了证明,以证明所提出的方法在DSC中选择合适的供应商的有效性。

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