CRITIC-VIKOR Method for Industrial Robot Selection: An Innovative Approach with Linguistic Fuzziness

The segment introduces a new hybrid method for selecting industrial robots, integrating the CRITIC and VIKOR techniques with probabilistic linguistic fuzzy sets (PULq-ROFS). CRITIC assigns objective weights to the selection criteria, while VIKOR identifies the optimal compromise solution. The use of PULq-ROFS enables the handling of uncertainty and vagueness in expert evaluations. The method stands out for its robustness and flexibility in the face of variations in parameters and input data, offering an advantage over existing approaches through the combination of quantitative and qualitative techniques. Finally, the method's effectiveness is demonstrated with a practical example.