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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:基于间隔估值直觉模糊数的数字供应链群决策Moora方法的延伸

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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)是一种智能过程,可利用创新解决方案,具有新兴的技术手段,为组织产生新的收入和业务价值。供应链中的利益相关者,无论是销售商品或服务,都使用,生成和与他人分享信息。来自学者和企业的兴趣正在增长。供应商选择构成供应链数字化视角的关键任务之一。本文在DSC环境中接近供应商选择问题,其自然取决于许多参数。因此,提出了多标准分析和解决方案方法,其中包括决策者的知识和涉及评估中涉及评估中的其他压力,以及在Moora(多目标优化通过比率分析)比率系统方法的帮助下。该方法使用间隔值的直觉模糊数和组决策方法,这在实际情况下证明了展示所提出的方法在DSC中选择合适供应商的有效性。

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