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With the escalating incidence and mortality rates of lung cancer, the targeted drugs assessment has emerged a key problem, serving as the foundation for incorporating targeted drugs into the national basic medical insurance. This paper executes drug value assessment within a multi-criterion decision-making framework. Recognizing that experts naturally provide assessments in linguistic representations during drug evaluations, we employ the generalised probabilistic linguistic term set to uniformly model diverse types of linguistic information. Considering the bounded rationality of experts, we propose a method to obtain expert weights through minimizing regret degree of experts. Based on the determined weights of experts, a method to simplify the generalised probabilistic linguistic term set is developed. Afterwards, this study establishes a 2-additional Choquet integral-based aggregation method to fuse the …