Multiattribute decision making based on interval-valued intuitionistic fuzzy values

In this paper, we present a new multiattribute decision making method based on the proposed interval-valued intuitionistic fuzzy weighted average operator and the proposed fuzzy ranking method for intuitionistic fuzzy values. First, we briefly review the concepts of interval-valued intuitionistic fuzzy sets and the Karnik–Mendel algorithms. Then, we propose the intuitionistic fuzzy weighted average operator and interval-valued intuitionistic fuzzy weighted average operator, based on the traditional weighted average method and the Karnik–Mendel algorithms. Then, we propose a fuzzy ranking method for intuitionistic fuzzy values based on likelihood-based comparison relations between intervals. Finally, we present a new multiattribute decision making method based on the proposed interval-valued intuitionistic fuzzy weighted average operator and the proposed fuzzy ranking method for intuitionistic fuzzy values. The proposed method provides us with a useful way for multiattribute decision making based on interval-valued intuitionistic fuzzy values.

► We present a new multiattribute decision making method based on interval-valued intuitionistic fuzzy values.
► We propose the intuitionistic fuzzy weighted average operator and interval-valued intuitionistic fuzzy weighted average operator.
► We propose a fuzzy ranking method for intuitionistic fuzzy values based on likelihood-based comparison relations between intervals.
► The proposed method provides us with a useful way for multiattribute decision making based on interval-valued intuitionistic fuzzy values.