In this paper a new method that formalizes fuzzy-based Decision Making problems by means of type-2 fuzzy sets is illustrated. The approach is based on a BL-algebra defined on these sets. This method is then compared to well-known fuzzy-based methods, namely Bellman-Zadeh's, Yager's and Baldwin's. The results achieved by our algorithm are similar and the linguistic presentation offers the advantage of making them more readable
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