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• W4200606913 abstract "Abstract Probabilistic linguistic term sets (PLTSs) play an important role in multi-criteria decision-making(MCDM) problems because it can not only describe objects with several possible linguistic terms, but also represent the proportion of each linguistic term, which can effectively avoid the distortion of decision information to a greater extent and ensure the credibility of decision results. First, to compare PLTS more simply and reasonably, we define a new score function that takes into account partial deviations. Then considering the superiority of the classic combinative distance-based assessment (CODAS) method in the complete representation of information, it is extended to the probabilistic linguistic environment. Subsequently, we improved the classic CODAS method and proposed the PL-CODAS method. Finally, we apply the PL-CODAS method to a cases of venture investors choosing emerging companies, and we compare the proposed method with PL-TOPSIS method, PL-TODIM method and PL-MABAC method to verify its applicability and effectiveness." @default.
• W4200606913 created "2021-12-31" @default.
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• W4200606913 date "2021-12-13" @default.
• W4200606913 modified "2023-10-02" @default.
• W4200606913 title "The application of probabilistic linguistic CODAS method based on new score function in multi-criteria decision-making" @default.
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• W4200606913 doi "https://doi.org/10.1007/s40314-021-01568-6" @default.
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