weight determination and ranking priority in interval group mcdm

In this study, we propose a method to determine the weight of decision makers in group multiple criteria decision making problems with interval data. here, we obtain an interval weight for each decision maker and then the relative closeness of each decision from the negative ideal solution and the positive ideal solution is then computed. in the proposed method, after weighting the decision matrix of each decision maker, the alternatives are ranked using interval arithmetic. a comparative example along with a real world problem on air quality assessment is given to illustrate our method