Multi-attribute decision-making based on sine trigonometric aggregation operators for T-spherical fuzzy information

To handle uncertain information where opinion has more than two aspects, the frame of T-spherical fuzzy (TSF) set is of significance. The goal of this paper is to introduce some aggregation operators (AOs) based on trigonometric function of sine, i.e., sine trigonometric aggregation operators (STAOs) for TSF information. The validity of the STAOs is checked using the properties of idempotency, monotonicity and boundedness. These operators incorporate the unique features of the sine trigonometry function and are designed to meet the decision-making requirements for the assessment of objects. A multi-attribute decision-making (MADM) algorithm is proposed to see the applicability of the proposed STAOs in a human resource management problem. To strengthen our study, we provide a comparative analysis with existing research in the field and the superiority of the proposed approach is discussed. It is shown that the proposed operator deals with processing of the information better than the existing operators.