Evaluation of Teaching Performance with Outliers Data using Fuzzy Approach

Abstract Both ratings and weight aspects have recently received great consideration in teaching performance evaluation. Unfortunately, in some cases, the trend of adopting merely the rating aspect has created concern as it can lead to questionable outcome. Besides that, the existence of outliers in the data will also affect the evaluations’ results. Evaluating teaching performance is also not an easy task as it involves human decision making which is imprecise, vague and uncertain. In this paper, the fuzzy evaluation method with fuzzy Jaccard ranking index is applied in evaluating teaching performance at one of the public universities in the East Coast of Malaysia. The outliers data which are detected by using the standard score concept were trimmed off and thus had minimized the variation within the data. Findings conclude that teaching is the key factor in evaluating the teaching performance. The proposed approach gives a promising prospect in teaching performance evaluation where it provides a more reasonable and intelligent evaluation with accurate results.