A method for priority in intuitionistic fuzzy preference relation

This Intuitionistic fuzzy sets theory which is the generalisation of fuzzy sets theory is more suitable tool for dealing with imprecise information. The information provided by the decision maker is imprecise in many situations. So, intuitionistic fuzzy preference relation is a suitable tool for such cases. The estimation of the priority vector of the intuitionistic fuzzy preference relation is an important part in decision making. In this paper, an intuitionistic fuzzy weighted integral operator is proposed. The defined operator is employed with score functions to develop a method for the priority of an intuitionistic fuzzy preference relation to estimate the ranking of the considered alternatives. Further an experiment example has been conducted to implementation of proposed approach.