期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：13
页码：3691-3701
出版社：Journal of Theoretical and Applied
摘要：Graduates shall see the importance of improving their skills to prepare themselves to get the right jobs. Considering such important requirements, therefore many universities have designed various skill development programs in their curriculum. The students enrol in these programs and eventually, their skills performance will be evaluated using certain scores. This research does not aim to calculate the scores. Instead, we focus on how to find the relationship between parameters presented for the evaluation. In this study, we use the fuzzy-soft-association-rule mining (FSAR) approach and proposed the fast algorithm for finding association rule on fuzzy soft set. FSAR is a tool that combines Fuzzy Soft Set concepts and Association Rule Mining. We found that FSAR is an effective method to describe the relationship between parameters in large size data. Using FSAR, we will find a significant parameter or uncorrelated parameters for further analysis. This study recommends the selected parameters for determining the type of training for students. By selecting the right training, the University can reduce training cost significantly.
