Modification of the DIBR and MABAC Methods by Applying Rough Numbers and Its Application in Making Decisions

This study considers the problem of selecting an anti-tank missile system (ATMS). The mentioned is solved by applying a hybrid multi-criteria decision-making model (MCDM) based on two methods: DIBR (Defining Interrelationships Between Ranked criteria) and MABAC (Multi-Attributive Border Approximation area Comparison) methods. methods are modified rough numbers, which present very suitable for considering uncertainty following processes. method young with simple mathematical apparatus defining relation between ranked criteria, that is, adjacent reducing number comparisons. defines weight coefficients opinion experts. used to select best alternative from set offered ones, distance criteria function every observed border approximate area. paper has main innovations. With presented support model, ATMS selection raised higher level, proven apparatus. In terms methodology, innovation successful application method, not been treated in this way literature so far. Additionally, analysis related research as well carried out. After sensitivity output results change performed, comparison other Finally, proposed concluded be stable can reliable tool help decision makers process. potential being applied case studies it good means uncertainty.