Liu Ling, Zhu Qiuyi, Yang Dan, Liu Sen
School of Logistics and Management Engineering, Yunnan University of Finance and Economics, Kunming 650221, China.
College of Innovative Business and Accountancy, Dhurakij Pundit University, Bangkok 10210, Thailand.
Entropy (Basel). 2023 Apr 21;25(4):702. doi: 10.3390/e25040702.
How to ensure the normal production of industries in an uncertain emergency environment has aroused a lot of concern in society. Selecting the best emergency material suppliers using the multicriteria group decision making (MCGDM) method will ensure the normal production of industries in this environment. However, there are few studies in emergency environments that consider the impact of the decision order of decision makers (DMs) on the decision results. Therefore, in order to fill the research gap, we propose an extended MCGDM method, whose main steps include the following: Firstly, the DMs give their assessment of all alternatives. Secondly, we take the AHP method and entropy weight method to weight the criteria and the DMs. Thirdly, we take the intuitionistic fuzzy hybrid priority weight average (IFHPWA) operator we proposed to aggregate evaluation information and take the TOPSIS method to rank all the alternatives. Finally, the proposed method is applied in a case to prove its practicability and effectiveness. The proposed method considers the influence of the decision order of the DMs on the decision results, which improves the accuracy and efficiency of decision-making results.
如何在不确定的突发环境下确保产业的正常生产已引起社会广泛关注。运用多准则群体决策（MCGDM）方法选择最佳应急物资供应商将确保在此环境下产业的正常生产。然而，在应急环境中，很少有研究考虑决策者（DMs）决策顺序对决策结果的影响。因此，为填补这一研究空白，我们提出一种扩展的MCGDM方法，其主要步骤如下：首先，决策者对所有备选方案进行评估。其次，我们采用层次分析法（AHP）和熵权法对准则和决策者进行赋权。第三，我们使用所提出的直觉模糊混合优先权重平均（IFHPWA）算子来聚合评价信息，并采用理想解法（TOPSIS）对所有备选方案进行排序。最后，将所提方法应用于一个案例以证明其实用性和有效性。所提方法考虑了决策者决策顺序对决策结果的影响，提高了决策结果的准确性和效率。
