An approach to quality function deployment based on probabilistic linguistic term sets and ORESTE method for multi-expert multi-criteria decision making

2018 ◽  
Vol 43 ◽  
pp. 13-26 ◽  
Author(s):  
Xingli Wu ◽  
Huchang Liao
Keyword(s):  
Decision Making ◽  
Quality Function Deployment ◽  
Multi Criteria Decision Making ◽  
Quality Function ◽  
Linguistic Term ◽  
Probabilistic Linguistic Term Sets

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

2021 ◽  
Vol 41 (1) ◽  
Author(s):  
Liuxin Chen ◽  
Xiaoling Gou
Keyword(s):  
Decision Making ◽  
Score Function ◽  
Multi Criteria Decision Making ◽  
Topsis Method ◽  
Linguistic Terms ◽  
Complete Representation ◽  
Linguistic Term ◽  
Probabilistic Linguistic Term Sets ◽  
Todim Method

AbstractProbabilistic 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.

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