Incomplete Fermatean fuzzy preference relations and group decision-making

Abstract There may be cases where experts do not have in-depth knowledge of the problem to solved in decision-making problems. In such cases, fail express their views on certain aspects problem, resulting incomplete preferences, which some preference values are provided or missing. this article, we present a new model for group (GDM) methods experts’ preferences can expressed as Fermatean fuzzy relations. This is guided by additive-consistency property and only uses expert provides. An additive consistency definition characterized priority vector has been given. The also used measure level information experts. proposed definition’s presented, well obtaining missing judgments We method adjusting inconsistency relations, vector, increasing consensus degrees addition, GDM environments with To show that our outperforms existing relations environments, an example compared it methods. It seen beneficial deficient relation produces meaningful results us.