Type-2 Fuzzy Logic in Multi-Criteria Group Decision Making with Intuitionistic Evaluation

In recent years, there have been a growing interest in developing Multi-Criteria Decision Making (MCDM) and Group Decision Making (GDM) using type-2 fuzzy sets and Intuitionistic Fuzzy Sets (IFSs) which provide frameworks to handle the encountered uncertainties in decision making models. Previous research has shown the power of type-2 fuzzy logic systems to handle the linguistic uncertainties. IFSs have been shown to provide a suitable framework for dealing with conflicting evaluation involving membership, non-membership and hesitation. In this paper, we propose a method focused on interval type-2 fuzzy logic Multi-Criteria Group Decision Making (MCGDM) system with intuitionistic evaluation. The intuitionistic evaluation in interval type-2 membership function has been derived in the proposed method which includes twelve steps for the aggregation and ranking of the preferences alternatives. The proposed method is expected to handle the linguistic uncertainties in MCGDM and give comprehensive evaluation for the membership values.