Application of a D Number based LBWA Model and an Interval MABAC Model in Selection of an Automatic Cannon for Integration into Combat Vehicles

A decision making procedure for selection of a weapon system involves different, often contradictory criteriaand reaching decisions under conditions uncertainty. This paper proposes novel multi-criteria methodology based on D numbers which enables efficient analysis the information used making. The proposed has been developed in order to enable an when large number hierarchically structured evaluation criteria be processed. Level Based Weight Assessment – Multi Attributive Border Approximation area Comparison (D LBWA-MABAC) model is automatic cannon integration into combat vehicles. Criteria weights are determined improved LBWA-D model. traditional MABAC method further by interval numbers. hybrid LBWA-MABAC framework Nine systems worldwide have ranked this paper. multicriteria approach allows makers assess options objectively and reach rational regarding optimal system. Validation performed through sensitivity studies how changes best criterion elasticity coefficient affect ranking results.