Descriptive performance assessment of elementary students using fuzzy TOPSIS
Subject Areas : International Journal of Data Envelopment Analysis
1 - Department of Mathematics, Islamic Azad University, Qaemshahr, Iran
Keywords: Multiple Criteria Decision Making, TOPSIS, Fuzzy, Fuzzy Weighted Average,
Abstract :
This article evaluates the descriptive performance of students in one of the primary schools in Babol. Since most of these indices are offered qualitatively to evaluate students, the results may sometimes not provide the right solution. Therefore, in this article, the qualitative data are converted into quantitative data by using fuzzy method. Then, the students’ performance is ranked using fuzzy TOPSIS technique. However, this study shows that in spite of quantitative data, when all the criteria are the same for some students in a particular context, they offer a similar ranking of alternatives. In this study, the ranking of 30 students in the sixth grade of Babol elementary school is determined by 8 criteria for average score, discipline, timely attendance, assignments, responsibility, concentration, academic achievement and legality. The results show that 9 students are ranked first and they need to be ranked again by other criteria.
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