@revista_internacional{765, keywords = {Multi-attribute group decision-making, Probabilistic linguistic term set, Individual numerical value of linguistic term, Gained and lost dominance score method, prospect theory}, author = {Shuping Wan and Wen-Chang Zou and Jiuying Dong and Luis Martínez}, title = {A probabilistic linguistic dominance score method considering individual semantics and psychological behavior of decision makers}, abstract = {Psychological behavior could play a key role in many decision-making situations, therefore introducing it into the decision-making process might lead to better decisions being made. In those decision-making problems with uncertainty that are modelled by probabilistic linguistic information, the semantics of such information could be interpreted in different ways by different decision makers (DMs). Consequently, this paper aims at developing a prospect theory (PT) based on the gained and lost dominance score (GLDS) method for probabilistic linguistic multi-attribute group decision-making (MAGDM) to consider both individual semantics and DMs’ psychological behavior. As such, a new similarity degree is introduced to determine DMs’ weights and two programming models are constructed to obtain the individual numerical scales of linguistic terms and optimal individual weights of attributes. Then, the DMs’ psychological behavior is reflected by defining the individual prospect gained and lost dominance scores of alternatives on the basis of PT. The individual prospect dominance scores of alternatives are aggregated into collective prospect dominance scores of alternatives and the collective ranking of alternatives is then generated. Finally, an emission reduction device supplier selection example is analyzed and comparison analyses show the superiority and effectiveness of the proposed method.}, year = {2021}, journal = {Expert Systems with Applications}, volume = {184}, pages = {115372}, issn = {0957-4174}, url = {https://www.sciencedirect.com/science/article/pii/S0957417421007995}, doi = {https://doi.org/10.1016/j.eswa.2021.115372}, }