Article ID Journal Published Year Pages File Type
387630 Expert Systems with Applications 2012 9 Pages PDF
Abstract

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.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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