%0 Journal Article %T An interval-valued atanassov’s intuitionistic fuzzy multi-attribute group decision making method based on the best representation of the WA and OWA operators %J Journal of Fuzzy Extension and Applications %I Research Expansion Alliance (REA) on behalf of Ayandegan Institute of Higher Education %Z 2783-1442 %A Da Silva, Ivanosca Andrade %A Bedregal, Berta %A Bedregal, Benjamin %A Santiago, Regivan Hugo Nunes %D 2021 %\ 09/01/2021 %V 2 %N 3 %P 239-261 %! An interval-valued atanassov’s intuitionistic fuzzy multi-attribute group decision making method based on the best representation of the WA and OWA operators %K Interval-Valued Atanassov’s intuitionistic fuzzy sets %K WA and OWA operators %K Lx-representations %K total orders %K multi-attribute group decision making %R 10.22105/jfea.2021.306164.1162 %X In this paper we extend the notion of interval representation for interval-valued Atanassov’s intuitionistic representations, in short Lx-representations, and use this notion to obtain the best possible one, of the Weighted Average (WA) and Ordered Weighted Average (OWA) operators. A main characteristic of this extension is that when applied to diagonal elements, i.e. fuzzy degrees, they provide the same results as the WA and OWA operators, respectively. Moreover, they preserve the main algebraic properties of the WA and OWA operators. A new total order for interval-valued Atanassov’s intuitionistic fuzzy degrees is also introduced in this paper which is used jointly with the best Lx-representation of the WA and OWA, in a method for multi-attribute group decision making where the assesses of the experts, in order to take in consideration uncertainty and hesitation, are interval-valued Atanassov’s intuitionistic fuzzy degrees. A characteristic of this method is that it works with interval-valued Atanassov’s intuitionistic fuzzy values in every moments, and therefore considers the uncertainty on the membership and non-membership in all steps of the decision making. We apply this method in two illustrative examples and compare our result with other methods. %U https://www.journal-fea.com/article_139019_ab3a84a09d7d3fab2ff32007c8c3d873.pdf