Comparative Analysis of Hybrid Fuzzy MCGDM Methodologies for Optimal Robot Selection Process

The generalized interval-valued trapezoidal fuzzy best-worst method (GITrF-BWM) provides more reliable and consistent criteria weights for multiple group decision making (MCGDM) problems. In this study, GITrF-BWM is integrated with the extended TOPSIS (technique order preference by similarity to ideal solution) VIKOR (visekriterijumska optimizacija i kompromisno resenje) methods selection of optimal industrial robot using information. For a criteria-based process, assigning play vital role significantly affect decision. Assigning based on direct opinions makers can be biased, so weight deriving models, such as GITrF-BWM, overcome discrepancy. previous studies, were not derived any MCGDM process. both subjective objective are considered. preferences provided help linguistic terms that then converted into stability reliability tested performing sensitivity analysis, which showed ranking results methodologies symmetrical, integration stable compared method. Hence, proposed methodology robust selection.