Due to its complex, time-demanding, and multifaceted structure, personnel selection is considered as a multicriteria decision-making problem, the framework of which includes both qualitative and quantitative criteria. Although various techniques have been proposed to address this problem in various industries, a robust methodology that is capable of explicitly considering the presence of uncertainty/vagueness is still a necessity. Therefore, with this study, we propose an integrated methodology that leverages Decision Making Trial and Evaluation Laboratory (DEMATEL) and Elimination and Choice Expressing the Reality (ELECTRE) methods under Intuitionistic Fuzzy (IF) environment. Within the proposed methodology, firstly, the IF-DEMATEL method is employed to obtain the importance-weights of the elicited criteria, and then the IF-ELECTRE method is formulated and applied to rank the candidates based on cardinal and ordinal evaluations. To illustrate the viability of the proposed methodology, an application case is performed at an air-filter manufacturing company. Hence, this study aims to contribute to the theoretical and practical extent of the related literature by proposing and illustrating an integrated analytics methodology capable of addressing personnel selection decisions in complex and imprecise real-world scenarios.

由于其复杂，费时和多方面的结构，人员选拔被视为一个多准则决策问题，其框架包括定性和定量准则。尽管已经提出了各种技术来解决各个行业中的这个问题，但是仍然需要一种能够明确考虑不确定性/模糊性的可靠方法。因此，在这项研究中，我们提出了一种综合方法，该方法可利用决策试验和评估实验室（DEMATEL）以及在直觉模糊（IF）环境下消除和选择表示现实的方法（ELECTRE）。在所提出的方法中，首先，采用IF-DEMATEL方法来获得所提出标准的重要性权重，然后建立IF-ELECTRE方法，并根据基数和序数评估方法对候选人进行排名。为了说明所提出方法的可行性，在空气过滤器制造公司进行了一个应用案例。因此，本研究旨在通过提出和说明一种能够解决复杂和不精确的现实情况中的人员选拔决策的综合分析方法，为相关文献的理论和实践范围做出贡献。