Study on the Method of Selecting Sustainable Food Suppliers Considering Interactive Factors

Yi Wang, Huizhi Yang, Xiao Han
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Abstract

The existing sustainable supplier selection methods are not sufficient to deal with the problem of sustainable food supplier selection with the interaction of criteria under uncertainty. Therefore, this paper proposes a method of sustainable food supplier selection based on an extended decision model. Firstly, a processing method for supplier evaluation information is constructed using the Pythagorean fuzzy set has the function of processing complex uncertain information. Secondly, to obtain the objective weights of decision experts, a Pythagorean fuzzy weighted distance measure model is constructed, and an expert information fusion method based on a weighted power mean operator is proposed to construct the group decision matrix. Then, the decision experiment and evaluation experiment methods are integrated with the traditional MARCOS method, to construct a sustainable food supplier selection method considering the interaction of factors. This method can effectively deal with the complicated and uncertain problem of sustainable food supplier selection with interactive factors. Finally, the feasibility of the proposed method is verified by an example of sustainable food supplier selection. In addition, parameter sensitivity analysis and multi-method comparative analysis verified the rationality of the proposed selection method for sustainable food supplier selection.
考虑互动因素的可持续食品供应商选择方法研究
现有的可持续供应商选择方法不足以处理不确定条件下标准相互作用的可持续食品供应商选择问题。因此,本文提出了一种基于扩展决策模型的可持续食品供应商选择方法。首先,利用毕达哥拉斯模糊集处理复杂不确定信息的功能,构建了供应商评价信息的处理方法。其次,为获得决策专家的客观权重,构建了毕达哥拉斯模糊加权距离度量模型,并提出了基于加权幂均值算子的专家信息融合方法,构建了群体决策矩阵。然后,将决策实验和评价实验方法与传统的 MARCOS 方法相结合,构建了一种考虑各因素相互作用的可持续食品供应商选择方法。该方法能有效地处理具有交互因素的可持续食品供应商选择这一复杂而不确定的问题。最后,通过一个可持续食品供应商选择实例验证了所提方法的可行性。此外,参数敏感性分析和多方法比较分析验证了所提出的可持续食品供应商选择方法的合理性。
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