Extended EDAS Methods for Multi-Criteria Group Decision-Making Based on IV-CFSWAA and IV-CFSWGA Operators With Interval-Valued Complex Fuzzy Soft Information

In multi-criteria decision making (MCDM), it is difficult for decision-makers to give accurate evaluation values, and one-dimensional fuzzy set theory cannot capture periodic and seasonal information. The interval-valued complex fuzzy soft set (IV-CFSS) has these advantages in describing the information, which extends the evaluation value to the interval value, and extends the membership degree from the real number to the complex number, and it is not limited by the parameterization. MCDM methods can identify the best alternatives involving multiple criteria, and Evaluation based on Distance from Average Solution (EDAS) method is one of the MCDM methods, which simplifies the traditional decision-making process. In the real world, multi-criteria group decision making (MCGDM) is more realistic than MCDM. The purpose of this manuscript is to propose new EDAS method for MCGDM in interval-valued complex fuzzy soft environment. In the current work, the aggregation operators for IV-CFSS have not been applied to the ranking of alternatives in MCGDM problems. For this proposed work, the interval-valued complex fuzzy soft weighted arithmetic averaging (IV-CFSWAA) operator and the interval-valued complex fuzzy soft weighted geometric averaging (IV-CFSWGA) operator are proposed. Then, the related properties of these operators are studied. Based on these two operators, the interval-valued complex fuzzy soft EDAS methods in MCGDM environment are proposed. Finally, an example of economic problem is provided to test the feasibility and applicability of the proposed methods.