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文章基本信息

  • 标题:Decision Support Model for Employee Selection Based on Data Mining and Fuzzy Logic
  • 本地全文:下载
  • 作者:Pah, Clarissa Elfira Amos ; Utama, Ditdit Nugeraha
  • 期刊名称:Journal of Computer Science
  • 印刷版ISSN:1549-3636
  • 出版年度:2020
  • 卷号:16
  • 期号:5
  • 页码:686-701
  • DOI:10.3844/jcssp.2020.686.701
  • 出版社:Science Publications
  • 摘要:This paper explains the use of data mining and fuzzy logic in optimizing decision making for employee recruitment, especially in IT Consultant company. This method addresses the company's need to recruit employees with more objective and accurate by utilizing historical data to find patterns of potential employees for the company. First, classification will be carried out using data mining to determine the predictor attributes of potential employees. These predictor attributes will then be used to arrange fuzzy rule base and fuzzy logic structure which will be used to prioritize employees to be accepted. The results obtained will prioritize employees who are recruited objectively scientifically.
  • 关键词:Data Mining; Fuzzy Logic; Decision Support; Employee Recruitment
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