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  • 标题:Evaluation of Graduates’ Performance Using Fuzzy Approach
  • 本地全文:下载
  • 作者:Yuzainee Md Yusoff ; Yuzainee Md Yusoff ; Mohd Zaidi Omar
  • 期刊名称:Procedia - Social and Behavioral Sciences
  • 印刷版ISSN:1877-0428
  • 出版年度:2013
  • 卷号:102
  • 页码:64-73
  • DOI:10.1016/j.sbspro.2013.10.714
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis study offers an argument on the use of ordinal values in Likert scale that represents the linguistic terms of the level of satisfaction perceived by employers on the graduates’ performance. Generally, ordinal data are regarded as nonparametric and cannot be added. This paper recommends the use of fuzzy sets to represent linguistic terms in Likert scale. The evaluation of employers’ satisfaction level for the graduates’ performance applied the technique using fuzzy conjoint method. The investigation findings show that the analysis using fuzzy conjoint method yields consistent outcome compared to the analysis using the statistics mean and percentage. In addition, the fuzzy membership values obtained from fuzzy conjoint method ranks the attributes that used to measure employers’ satisfaction level. Therefore, this finding provides useful information for decision-making in finding the attributes that need to be enhanced in engineering graduates.
  • 关键词:Performance;graduates;employability skills;attributes;decision-making;Conjoint analysis
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