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Fuzzy hybrid MCDM approach for selection of wind turbine service technicians

机译:模糊混合MCDM方法选择风机服务技术人员

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This research paper is aimed to present a fuzzy Hybrid Multi-criteria decision making (MCDM) methodology for selecting employees. The present study aspires to present the hybrid approach of Fuzzy multiple MCDM techniques with tactical viewpoint to support the recruitment process of wind turbine service technicians. The methodology is based on the application of Fuzzy ARAS (Additive Ratio Assessment) and Fuzzy MOORA (Multi-Objective Optimization on basis of Ratio Analysis) which are integrated through group decision making (GDM) method in the model for selection of wind turbine service technicians’ ranking. Here a group of experts from different fields of expertise are engaged to finalize the decision. Series of tests are conducted regarding physical fitness, technical written test, practical test along with general interview and medical examination to facilitate the final selection using the above techniques. In contrast to single decision making approaches, the proposed group decision making model efficiently supports the wind turbine service technicians ranking process. The effectiveness of the proposed approach manifest from the case study of service technicians required for the maintenance department of wind power plant using Fuzzy ARAS and Fuzzy MOORA. This set of potential technicians is evaluated based on five main criteria.
机译:本研究报告旨在提出一种用于选择雇员的模糊混合多准则决策(MCDM)方法。本研究旨在从策略角度提出模糊多MCDM技术的混合方法,以支持风力涡轮机服务技术人员的招聘过程。该方法基于模糊ARAS(可比比率评估)和Fuzzy MOORA(基于比率分析的多目标优化)的应用,它们通过组决策(GDM)方法集成到了风机服务技术人员的选择模型中' 排行。在这里,来自不同专业领域的专家团队将最终确定该决定。进行了一系列有关身体适应性,技术笔试,实践考试以及一般面试和医学检查的测试,以利于使用上述技术进行最终选择。与单一决策方法相比,建议的群体决策模型有效地支持了风力涡轮机维修技术人员的排名过程。该方法的有效性从使用Fuzzy ARAS和Fuzzy MOORA的风电厂维护部门所需的服务技术人员的案例研究中得以体现。这组潜在的技术人员是根据五个主要标准进行评估的。

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