Handling Data Uncertainty in Decision Making with COMET

The COMET method is a new multi-criteria decision-making (MCDM) method using the elements of fuzzy sets theory to identify a decision-making model in the space of a problem. This technique is entirely free of the rank reversal phenomenon, which is one of the most critical challenges in the MCDM field. The COMET method was primarily developed for dealing only with real-valued data. However, in many cases it is hard to present precisely the exact values of attributes for decision-making criteria. Therefore, intervals or fuzzy numbers should be used instead of numerical values in complex decision-making problems with data uncertainty. This paper proposes a new direct approach to use uncertain input data by using the COMET method in the decision-making process. We present a procedure to evaluate the preferences for the considered alternatives, which are described by using intervals or fuzzy numbers. A simple numerical example along with short discussion is presented for both cases.