The evaluation of faculty performance plays a great role in monitoring and improving the performance of educational systems. Normally, the evaluation considers their contributions in teaching, research, and professional services. One of the common mechanisms for evaluating teaching performance is through a questionnaire that is distributed to students to express their opinions on the performance of their faculty. However, this questionnaire often contains vaguely defined linguisitic terms such as strong, competent, unsatisfactory, agree, strongly agree, etc. In this paper, we present a fuzzy assessment model to evaluate the teaching performance of faculty members from the data collected from their students. In this approach fuzzy sets are used to reperesent the impreciseness due to subjective judgements, and a fuzzy inference system is used to provide a crisp score for each faculty member.
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YAHAYA ONIMISI MOHAMMED, "A Fuzzy-Based Assessment Model for the Evaluation of Faculty Teaching Performance", Journal of Ultra Scientist of Physical Sciences, Volume 25, Issue 3, Page Number , 2016Copy the following to cite this URL:
YAHAYA ONIMISI MOHAMMED, "A Fuzzy-Based Assessment Model for the Evaluation of Faculty Teaching Performance", Journal of Ultra Scientist of Physical Sciences, Volume 25, Issue 3, Page Number , 2016Available from: https://www.ultrascientist.org/paper/184/