A Novel Approach to Fuzzy Multi-Attribute Group Decision Making Based On Interval-Valued Intuitionistic Fuzzy Best-Worst Method

Today, due to the globalization and competitive conditions of the market, decisions are generally made in group and in accordance with different attributes. In addition, when information is subject to uncertainty, one can expect inconsistency and contradiction. Therefore, the development and application of tools that can adequately address uncertainty in the decision-making process and be appropriate for group decision making is an important area of Multi-Criteria Decision Making (MCDM). Therefore, first, this study developed the traditional Best-Worst Method (BWM), proposed an Interval-Valued Intuitionistic Fuzzy Best-Worst Method (IVIFBWM), and introduced a novel approach to fuzzy multi-attribute group decision-making based on the proposed method. Finally, in order to demonstrate how the introduced approach can be applied in practice, it was applied to an Iranian investment company and the experimental results were examined. From the experimental results, it was found that the introduced approach is not only simple in calculation but also convenient in implementation, especially in interval-valued intuitionistic fuzzy environments.