FUZZY AHP - FUZZY MABAC MODEL FOR RANKING A COMBINED CONSTRUCTION MACHINE - BACKHOE LOADER

The paper presents a multi-criteria decision-making (MCDM) model designed to rank combined construction machines - specifically, Backhoe Loaders - during procurement for military needs. However, the model can also be applied to construction companies. The ranking is based on criteria specifically defined for this research. The study found that most criteria relate to the structural elements of the Backhoe Loader, which is also significant for manufacturers working on improving these types of machines. The MCDM model is built on two methods: Analytic Hierarchy Process (AHP) and Multi-Attributive Border Approximation area Comparison (MABAC), both adapted using fuzzy numbers. The AHP method was modified with type 2 fuzzy numbers to calculate criteria's weight coefficients. The MABAC method, using classic triangular fuzzy numbers, is employed for ranking alternative solutions. Validation of the results involved two steps. First, a sensitivity analysis was performed by modifying the weight coefficients of the criteria. Second, a comparative analysis with other methods was performed. The validation process confirmed the stability of the obtained results.