Since people around the world have gradually attached importance to resource conservation, various countries are actively taking measures to promote environmental protection and sustainable development. Green supply chain management (GSCM) have emerged in this context. Thus, in this essay, a novelintuitionistic fuzzy multiple attribute group decision making (MAGDM) method is designed to tackle this issue. First of all, CRITIC (Criteria Importance Through Inter-criteria Correlation) method is utilized to determine the weights of criteria. Later, the conventional Taxonomy method is extended to the intuitionistic fuzzy environment to compute the value of development attribute of each supplier. Then, the optimal one can be determined. Eventually, an application about green supplier selection in steel industry is presented, and a comparative analysis is made to demonstrate the superiority of the proposed method. The main features of the proposed algorithm are that they provide a practical solution for selecting GSCM and presents an objective weighting method to enhance the effectiveness of the algorithm.

中文翻译：

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直觉模糊分类法在钢铁行业绿色供应商选择中的应用

由于世界各地的人们逐渐重视资源节约，各国正在积极采取措施促进环境保护和可持续发展。在这种情况下出现了绿色供应链管理（GSCM）。因此，在本文中，设计了一种新颖的直觉模糊多属性组决策方法（MAGDM）来解决该问题。首先，使用CRITIC（通过标准间相关性确定标准的重要性）方法来确定标准的权重。随后，将常规分类法扩展到直觉模糊环境，以计算每个供应商的发展属性的价值。然后，可以确定最佳的。最终提出了一种在钢铁行业选择绿色供应商的应用，并进行了比较分析，证明了该方法的优越性。该算法的主要特点是为选择GSCM提供了实用的解决方案，并提出了一种客观的加权方法来提高算法的有效性。