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This paper aims at developing a proportional fuzzy linguistic distribution model for multiple attribute decision making problems, which is based on the nature of symbolic linguistic model combined with distributed assessments. Particularly, in this model the evaluation on attributes of alternatives is represented by distributions on the linguistic term set used as an instrument for assessment. In...
Taking into account imprecise and incomplete information is very important for properly making a decision under uncertainty. However, due to inherent mechanism, many traditional approaches cannot deal with such problems. Motivated by this point, we propose a proportional fuzzy linguistic distribution model for decision making under uncertainty. It is shown that this new model not only allows experts...
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...
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