Prioritizing Effective Factors for Selecting Research Cooperator and Supervisor Using Fuzzy Analytic Hierarchy Process

Abstract: The present paper examines a fuzzy Analytic Hierarchy Process (FAHP) for Prioritize the factors affecting the choice of academic experts to select a research cooperator and a professor as a supervisor of thesis from the perspective of students. The main question is that with what criteria a cooperator or supervisor is selected for academic research or thesis. Some effective criteria determined by using the expert ideas in a analyzing the faculty member's promotion regulations and top supervisors or professors election regulations of ministry of science and technology. To rank determined criteria, hierarchy tree composed. Based on the hierarchy tree, AHP questionnaire designed and then distributed among faculty experts. This study show that research and training activities of teachers are respectively in first ranks for the both of choices.