Contractor selection using extended TOPSIS technique with interval-valued triangular fuzzy numbers

Today, outsourcing plays an important role in the success of organizations and is used as a tool to create business advantages and capabilities. One of the risks that outsourcing faced is inappropriate contractor selection which would have a significant effect on the implementation of project in terms of time, quality and cost. This study aimed to identify important criteria of contractor selection, determine the significance of them and design a framework for an appropriate contractor selection. Important criteria for selecting contractors were extracted from the literature, and then experts' views were collected using questionnaire and six criteria were selected which were more significant from the experts' views and their weights were determined. Finally, contractors were ranked and final contractor was selected using extended fuzzy TOPSIS technique with interval-valued triangular fuzzy numbers.