 This paper proposes a new decision-making model that combines decision-theoretic rough sets and intuitionistic hesitant fuzzy sets to improve the accuracy of investment policy selection. It addresses the limitations of traditional fuzzy logic-based models by allowing decision makers to express their hesitation in making a decision. Additionally, it reduces the information redundancy and inconsistency in the group decision-making process. The proposed model has been evaluated using a case study and its performance was found to be superior to other existing approaches. This article was authored by Wajid Ali, Tanzila Shaheen, Hamza Ghazan Fartour and others.