An error-analysis-based method for the priority of an intuitionistic preference relation in decision making

Intuitionistic fuzzy preference relation is a suitable tool used to describe uncertain or vague preference information provided by a decision maker in fuzzy decision making situations. A key step in decision making with an intuitionistic preference relation is to derive the priority vector of the intuitionistic preference relation. In this paper, we develop an error-analysis-based method for the priority of an intuitionistic preference relation, and then a possibility degree formula is used to derive the ranking of the considered alternatives. Moreover, a numerical analysis on the developed method is conducted through an illustrative example.