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

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.