A new version of 2-tuple fuzzy linguistic screening evaluation model in new product development

The screening of new product projects is critically important for the survival of companies. Many approaches have been developed to deal with this screening process. In this paper, we introduce a kind of proportional 2-tuple fuzzy linguistic screening evaluation model and the so-called preference-preserving transformation based on canonical characteristic values. It is shown that this new screening evaluation model not only purges the traditional requirement of equal distance between labels but also has the ability to reflect the confidence levels of evaluators on judgments, whereby enriching the information of final result and accordingly supplying a more comprehensive guidance for decision-makers. A case study taken from the literature is used to illuminate the proposed technique.