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Determining the importance ratings of technical characteristics is a typical group decision-making process.The linguistic-based approach can effectively manage the imprecise and multi-granularity information in quality function deployment and facilitate decision-making in deriving the importance ratings.Based on the linguistic weighted averaging (LWA) operator and the linguistic hybrid averaging (LHA) operator,a practical approach is proposed to first aggregate the individual judgments into a collective value for each technical characteristic under linguistic environment,and then measure the deviation degree of linguistic variables to obtain the importance ratings of technical characteristics.A case study shows the application of the proposed method.
Determining the potential ratings of technical characteristics is a typical group decision-making process. The linguistic-based approach can effectively manage the imprecise and multi-granularity information in quality function deployment and facilitate decision-making in deriving the substantive factors. Based on the linguistic weighted averaging (LWA) operator and the linguistic hybrid averaging (LHA) operator, a practical approach is proposed to first aggregate the individual judgments into a collective value for each technical characteristic under linguistic environment, and then measure the deviation degree of linguistic variables to obtain the importance ratings of technical characteristics. A case study shows the application of the proposed method.