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Structuring Fuzzy Integrated Multi-stages Evaluation Model On Academic Personnel Recruitment In Met Institutions

机译:气象机构学术人才招聘的模糊综合多阶段评价模型。

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摘要

Managing the competency and proficiency designation during academic staff recruitment in maritime training is vital to ensure sustainable development of educational activities. This problem seeks for a systematic decision aid mechanism which could be adopted into the official recruitment procedures of academic administrations. Hence, this paper proposes fuzzy integrated multi-stages evaluation model (FIMEM) under multiple criteria in order to manage the academic personnel selection and development processes in Maritime Education and Training (MET) institutions. The diversity of evaluation attributes requires making an assessment via both fuzzy and crisp values. Moreover, performing SWOT analysis over the initial outcomes adds development strategy capability towards the assigned academic personnel. Consequently, this paper has suggested utilization of FIMEM as a recruitment toolkit in MET institutions in order to prevent the probable conflicts and manipulations in evaluation process of candidates for different academic positions.
机译:在海事培训中招聘学术人员的过程中,管理胜任能力和熟练程度的指定对于确保教育活动的可持续发展至关重要。这个问题寻求一种系统的决策辅助机制,可以将其用于学术行政部门的正式招聘程序中。因此,本文提出了在多个标准下的模糊综合多阶段评价模型(FIMEM),以管理海洋教育与培训(MET)机构的学术人员选拔和发展过程。评估属性的多样性要求同时通过模糊值和清晰值进行评估。此外,对初始结果进行SWOT分析可以为分配的学术人员增加发展策略的能力。因此,本文建议将FIMEM用作MET机构中的招聘工具包,以防止在不同学术职位的候选人评估过程中可能发生的冲突和操纵。

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