Model for Archives Management with Interval-valued Intuitionistic Fuzzy Information

To solve archives management problems in the university, a new model is proposed with interval-valued intuitionistic fuzzy information. In this method, according to the given attribute weights, we utilize the interval-valued intuitionistic fuzzy weighted averaging (IIFWA) operator to aggregate the interval-valued intuitionistic fuzzy information corresponding to each alternative, and then rank the alternatives and select the most desirable one(s) according to the score function and accuracy function. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.