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AN EMPLOYEE RECRUITMENT SYSTEM BASED ON FUZZY ANALYTIC HIERARCHY PROCESS FOR CABIN CREW

机译:基于机组人员模糊分析层次过程的员工招聘系统

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Human resources management plays a crucial role for companies in a competitive environment. Employee recruitment, which is a complicated selection process that aims to employ adequate person by mostly using indefinite and uncertain data, is an essential part of the human resources management. For air transportation, cabin crew has a distinct importance on both providing/maintaining the passengers’ satisfaction and assuring the flight safety and security. When the role of the cabin crew in the air transportation process is considered, it is very important to select the most appropriate candidate for the cabin crew. As a multiple criteria decision-making problem, selection processes are highly complex in practice. Analytic Hierarchy Process (AHP) is a decision-making method, which compares all alternatives pair-wisely, based on different criteria considering their hierarchy, to make the best decision. Yet problems like employee recruitment includes qualitative factors that make it hard for the decision maker to make comparison with real numbers. To overcome this problem fuzzy numbers is proposed. The main purpose of this study is to provide a cabin crew selection approach to minimize subjective judgments. In this context, an employee recruitment system based on Fuzzy AHP (FAHP) is proposed for an airline, to employ cabin crew.
机译:人力资源管理对竞争环境中的公司发挥着至关重要的作用。员工招聘是一个复杂的选择过程,旨在通过主要使用无限期和不确定的数据来雇用足够的人,是人力资源管理的重要组成部分。对于航空运输,机组人员对提供/维护乘客的满意度并确保飞行安全和安全方面具有明显的重要性。当机组人员在空运过程中的作用被认为是考虑时,为机组人员选择最合适的候选者非常重要。作为多标准决策问题,在实践中选择过程非常复杂。分析层次处理(AHP)是一种决策方法,它基于考虑其层次结构的不同标准,比较所有替代方法 - 明智地进行比较。然而,员工招聘等问题包括定性因素,使决策者难以与实数进行比较。为了克服这个问题,提出了模糊数字。本研究的主要目的是提供机组人员选择方法,以最大限度地减少主观判断。在这方面,提出了一项基于模糊AHP(FAHP)的雇员招聘系统,为航空公司,雇佣机组人员。

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