a new interval type 2 best worst method and its application to healthcare waste treatment selection problem

The best worst method (bwm) is considered to be a desirable method for multi-criteria decision-making (mcdm) in place of the analytic hierarchy process (ahp) because it reduces the number of pairwise comparisons required and maintains consistency between judgments. however, decision-makers often face uncertainty and must choose between a few similar alternatives, making decision-making more challenging. to address these issues, a new method called interval type 2 fuzzy additive bwm (it2f-abwm) has been proposed, which uses a fuzzy interval scale to handle uncertain preferences. this method retains the characteristics of the original bwm while simplifying fuzzy calculations by eliminating the fuzzy multiplication operation. furthermore, a fuzzy consistency index and fuzzy consistency ratio are introduced to check the reliability of the dms’ preferences. a case study concerning healthcare waste treatment selection is implemented by the proposed it2f-abwm to illustrate the practicality of the proposed method. finally, a comparative analysis is conducted to demonstrate the benefits of the proposed it2f-abwm.