区间T球形模糊环境下的群决策方法研究OA

To address the challenges of difficult-to-compare evaluations,preference incon-sistency and high consensus costs in group decision-making under an interval-valued T-Spherical fuzzy environment,this study proposes a novel interval-valued T-Spherical fuzzy score function and the IVTSFSSWBM aggregation operator.A fully additive-consist-ent fuzzy preference relation is derived through a preference transformation function.On this basis,a position-weighted ordinal consensus measure is introduced and a minimum-cost consensus model is established by incorporating the majority principle and decision-makers'tolerance behavior.A drug selection case study is conducted to verify the effectiveness and superiority of the proposed method.