using hybrid fuzzy promethee ii and fuzzy binary goal programming for risk ranking: a case study of highway construction projects

multi attribute decision making methods are considered as one of the most useful methods for solving ranking problems. in some decision making problems, while the alternatives for corresponding criteria are compared in a pairwise comparison manner, if the criteria are inherently fuzzy, debates will arise in ranking alternatives due to the closeness of the values of the criteria. in this research, the fuzzy promethee ii is proposed as a solution in such conditions. first, using the anp method, the criteria are weighted. then, the ranking process is accomplished both by the fuzzy promethee ii and the fuzzy topsis methods. finally, calculating spearman correlation coefficient, the results of these two approaches are compared. then, the most important risks are selected via the fuzzy binary goal programming and ranked again through the fuzzy promethee ii and fuzzy topsis methods finally, in the last step, these ranking two are compared. as a case study, highway construction risks are ranked through this method.