Interval Valued q-Rung Orthopair Fuzzy EDAS Method and Its Application to Supplier Selection

Nowadays, choosing the best supplier among the various suppliers has high importance for all enterprises, factories, and purchasers, which require high accuracy of the decision-making process by using specific methods and tools for the analysis of relevant factors. To reflect the uncertainty and changeable environment, fuzzy sets are used frequently by researchers. One of the extensions of ordinary fuzzy sets is Interval Valued q-Rung Orthopair Fuzzy Sets (IVq-ROFSs) which is an important way to express uncertain information. The objective of this paper is supplier assessment using EDAS method in q-Rung Interval-Valued Orthopair Fuzzy environment in Multiple-Attribute Group Decision Making (MAGDM) problems. Due to aggregate the comments of decision-makers, Interval Valued q-Rung Orthopair Fuzzy Weighted Power Mean aggregation operator (IVq-ROFWPM) is presented and used. Finally, to show the validity and applicability of the proposed method, a case study of supplier evaluation in a transformer company is implemented.