The application of probabilistic linguistic CODAS method based on new score function in multi-criteria decision-making

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 terms, but also represent the proportion of each term, which effectively avoid distortion decision information to a greater extent and ensure credibility results. First, compare PLTS more simply reasonably, we define new score function that takes into account partial deviations. Then considering superiority classic combinative distance-based assessment (CODAS) method complete representation information, is extended probabilistic environment. Subsequently, improved CODAS proposed PL-CODAS method. Finally, apply cases venture investors choosing emerging companies, PL-TOPSIS method, PL-TODIM PL-MABAC verify its applicability effectiveness.