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首页> 外文期刊>BMC Medical Informatics and Decision Making >Identification and weighting of kidney allocation criteria: a novel multi-expert fuzzy method
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Identification and weighting of kidney allocation criteria: a novel multi-expert fuzzy method

机译：肾脏分配标准的识别和加权：一种新型的多专家模糊方法

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Kidney allocation is a multi-criteria and complex decision-making problem, which should also consider ethical issues in addition to the medical aspects. Leading countries in this field use a point scoring system to allocate kidneys. Hence, the purpose of this study is to identify and weight the kidney allocation criteria considering the balance between utility and equity. To do this, a new fuzzy hybrid approach is proposed, which consists of two steps: In the first step, Fuzzy Delphi Method (FDM) is used to identify the effective criteria in the kidney allocation algorithm. In the second step, Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) is employed to determine the weight of the criteria. The results showed that the highest weight belongs to “Medical emergency” criterion and the lowest weight to “5 HLA mismatches”, which is similar to Euro-transplant kidney allocation system (ETKAS). The developed method is evaluated in two steps. First, the proposed model is implemented using a real case study from the Iranian Kidney Allocation System. It was shown that the proposed model has the potential to improve allocation outcome. Second, the proposed model’s superiority to the current model is approved by the experts using the results display in the profile matrix. Finally, sensitivity analysis is performed to check the robustness of the proposed model. This paper contributes to the kidney allocation literature by doing the following: (a) developing a comprehensive framework for identification and weightings of criteria for kidney allocation, (b) using, for the first time, the IF-AHP technique to consider hesitancy of decision makers and uncertainty in organ allocation, and (c) proposing an appropriate framework for the countries that intend to improve or modify their organ allocation system.
机译：肾脏分配是一个多标准和复杂的决策问题，除了医疗方面，还应考虑伦理问题。该领域的领先国家使用积分系统来分配肾脏。因此，本研究的目的是考虑效用和公平之间的平衡，确定并加权肾脏分配标准。为此，提出了一种新的模糊混合方法，该方法包括两个步骤：第一步，使用模糊德尔菲方法（FDM）识别肾脏分配算法中的有效标准。第二步，采用直觉模糊分析层次过程（IF-AHP）确定标准的权重。结果表明，最高权重属于“医疗急救”标准，最低权重属于“ 5 HLA不匹配”，这与欧洲移植肾脏分配系统（ETKAS）相似。分两步评估了开发的方法。首先，使用来自伊朗肾脏分配系统的实际案例研究来实施建议的模型。结果表明，提出的模型具有改善分配结果的潜力。其次，专家通过使用配置文件矩阵中显示的结果来认可所提出的模型优于当前模型的能力。最后，进行敏感性分析以检查所提出模型的鲁棒性。本文通过以下方面为肾脏分配文献做出了贡献：（a）建立一个用于识别和分配肾脏分配标准的综合框架，（b）首次使用IF-AHP技术考虑决策的犹豫性制造者和器官分配的不确定性;（c）为打算改善或修改其器官分配系统的国家提出适当的框架。

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