Identifying risks and prioritizing is important for payment service provider (PSP) companies to get banking projects and gain more market share. However, studies regarding the identification of risks and causal relationships are insufficient in the Iranian PSP industry and the industry is unique because of its characteristics. In this study, 30 experts involved with PSP companies are employed as the research sample. Eleven key risks and Forty-six sub-risks are also identified. Subsequently, the fuzzy decision-making trial and evaluation laboratory technique is applied to determine the effective and affected risks and the severity of their effects on each other. Finally, all risks are ranked. Due to the internal interrelationships of the main risks, the weight of each risk is calculated via the fuzzy analytic network process. As the second-level risks have no significant interrelationships, they are ranked via the fuzzy analytical hierarchy process. Moreover, the best-worst method is used to ensure that the obtained rankings are reliable. This study identifies the risks affecting the loss of banking projects and determines the impacts of these risks on each. A sensitivity analysis is then conducted on the weights of the criteria, and the results are compared.

识别风险并确定优先级对于支付服务提供商 (PSP) 公司获得银行项目并获得更多市场份额非常重要。然而，伊朗PSP行业有关风险识别和因果关系的研究还不够，而且该行业因其自身的特点而具有独特性。本研究选取了30名PSP企业的专家作为研究样本。还确定了 11 个关键风险和 46 个子风险。随后，应用模糊决策试验和评估实验室技术来确定有效风险和受影响风险以及它们相互影响的严重程度。最后，对所有风险进行排序。由于主要风险之间存在内在的相互关系，通过模糊网络分析法计算各风险的权重。由于二级风险之间没有显着的相互关系，因此通过模糊层次分析法对它们进行排序。而且，采用最好-最差的方法来确保获得的排名是可靠的。本研究确定了影响银行项目损失的风险，并确定了这些风险对每个项目的影响。然后对标准的权重进行敏感性分析，并对结果进行比较。