Comparison of fuzzy AHP and fuzzy TOPSIS methods for math teachers selection

Abstract

Math teachers' selection is a multi-criteria evaluation decision and has a strategic importance for many institutions. The conventional methods for Math teachers' selection are inadequate for dealing with the imprecise or vague nature of linguistic assessment. To overcome this difficulty, fuzzy multi criteria decision-making methods are proposed. The aim of this study is to use Fuzzy Analytic Hierarchy Process (F.AHP) and the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (F.TOPSIS) methods for the selection of Math teachers' in education and institutions. The proposed methods have been applied to a Math teachers' selection problem of education in Iran. After determining the criteria that affect the Math teachers' decisions, fuzzy AHP and fuzzy TOPSIS methods are applied to the problem and results are presented. The similarities and differences of two methods are also discussed.