Fuzzy Simple Additive Weighting Method in the Decision Making of Human Resource Recruitment

B. Prasetiyo, N. Baroroh
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引用次数: 10

Abstract

The Company is one of the jobs that was founded in order to reduce unemployment. The progress of a company is determined by the human resources that exist within the company. So the selection of workers will join the company need to be selected first. The hardest thing in making a selection factor is the effort to eliminate the subjectivity of the personnel manager so that every choice made is objective based on the criteria expected by the company. To help determine who is accepted as an employee in the company, we need a method that can provide a valid decision. Therefore, we use Fuzzy Multiple Attribute Decision Making with Simple Additive Weighting method (SAW) to make a decision making in human resource recruitment. This method was chosen because it can provide the best alternative from a number of alternatives. In this case, the alternative is that the applicants or candidates. This research was conducted by finding the weight values for each attribute. Then do the ranking process that determines the optimal alternative to the best applicants who qualify as employees of the company. Based on calculations by the SAW obtained the two highest ranking results are A5 (alternative 5) and A1 (alternative 1), in order to obtain two candidates received.
人力资源招聘决策中的模糊简单加性加权法
该公司是为了减少失业而成立的工作之一。公司的进步是由公司内部存在的人力资源决定的。所以工人的选择将加入公司首先需要选择。在制定选择因素时,最难的是努力消除人事经理的主观性,使每一个选择都是根据公司期望的标准客观做出的。为了帮助确定谁被公司接受为员工,我们需要一种能够提供有效决策的方法。因此,我们采用模糊多属性决策与简单加性加权法(SAW)进行人力资源招聘决策。之所以选择这种方法,是因为它可以从许多替代方案中提供最佳替代方案。在这种情况下,备选方案是申请人或候选人。这项研究是通过寻找每个属性的权重值来进行的。然后进行排名过程,以确定最适合公司员工的最佳人选。根据计算得到的SAW排名最高的两个结果分别是A5(备选5)和A1(备选1),从而获得两个候选人的接收。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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14
审稿时长
24 weeks
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