A group expert evaluation for teachers by integrating fuzzy AHP and TOPSIS models

S. Pavani, L. Sharma, H. Hota
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引用次数: 8

Abstract

Teachers are an essential pillar of any educational institute. The selection of eminence teacher is a very important process to sustain the quality education. Selection of teachers depends on performance for selection criteria to generate a final ranking. The performance criteria of teacher's are evaluated by experts and it is always ambiguous. This ambiguity of human decision-making can be deal with the fuzzy decision support model. This work is an attempt to construct a fuzzy AHP and TOPSIS model to assess different teachers and select quality teachers for educational intuitions. The proposed method enables decision analysts to better understand the complete evaluation process and provide a more precise, valuable, and systematic decision support tool.
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基于模糊层次分析法和TOPSIS模型的教师群体专家评价
教师是任何教育机构必不可少的支柱。优秀教师的选拔是维持素质教育的重要环节。教师的选择取决于表现的选择标准,以产生最终排名。教师的绩效标准是由专家来评估的,往往是模棱两可的。人类决策的这种模糊性可以用模糊决策支持模型来处理。本文尝试构建模糊层次分析法和TOPSIS模型,对不同教师进行评价,为教育直觉选择优质教师。所提出的方法使决策分析人员能够更好地理解完整的评估过程,并提供更精确、更有价值和更系统的决策支持工具。
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