An optimization preference based approach with hesitant intuitionistic linguistic distribution in group decision making

Multi-criteria group decision making (MCGDM) performs the central role for a selection of attributes in different firms. The conventional techniques for the selection of alternatives are insufficient. A weighted preference method using hesitant intuitionistic linguistic distribution (HILD) has been suggested to overcome this difficulty by comparing it with the (technique for order of preference by similarity to ideal solution) TOPSIS method for the selection of the best ideal solution. The proposed technique has been introduced to select the best ideal solution for an organization. Moreover, sensitivity analysis (SA) based on weights and time complexity (TC) are performed to empower the proposed technique. After calculating the best ideal solution based on HILD preference technique, the TOPSIS technique has been applied. Finally, the comparison of these two techniques is highlighted.