This study introduces an integrated Multi Criteria Decision Making (MCDM) methodology which combines the Evaluation Based on Distance from Average Solution (EDAS) method and Analytic Hierarchy Process (AHP) methods by utilizing Interval-Valued Proportional Intuitionistic Fuzzy Sets (IVPIFSs) for the first time in the literature. The proposed methodology is used to assess low-cost airlines in Europe. While Interval-Valued Proportional Intuitionistic Fuzzy (IVPIF) AHP method incorporates experts’ hesitant judgments to calculate the relative weights of evaluation criteria, IVPIF EDAS technique ranks alternatives according to their performances on the considered criteria set. Through the resolution of ambiguous and contradictory data in airlines’ evaluations, the suggested integrated framework improves the reliability of decision-making processes. The model’s ability to rank carriers scrutinizing a variety of criteria such as on-time performance, cost effectiveness, and service quality, is demonstrated through a case study involving significant European low-cost airlines. The proposed methodology is realized successfully to the problem and the findings provide valuable insights to travelers, stakeholders, and related actors based on the airline service strategies in the low-cost aviation sector.