a new evaluation model for selecting a quali ed manager by using fuzzy topsis approach

Considering the contemporary business settings, managers role is more than essential to the viabilityand further development of an organization. managers should possess such skills in order to e ectivelycope with the competition. multiple attributes decision making (madm) is an approach employedto solve problems involving selection from among a nite number of alternatives. the aim of thisstudy is to develop a methodology to evaluate managers based on integrating fuzzy ahp and fuzzytopsis approaches. in this paper, i have taken into consideration some important criteria whicha ect the process of managers selection. i have calculated the weights for each criterion based oninterval-valued fuzzy ahp and then inputted these weights to the fuzzy topsis method to rankmanagers. the entire methodology is illustrated with the help of a numerical example and nally therank of each managers is determined according to its results. the proposed method enables decisionanalysts to better understand the complete evaluation process and provide a more accurate, e ective,and systematic decision support tool. also, the proposed method provides a useful way for handlingfuzzy topsis based on fuzzy numbers.