Airline new route selection with Pythagorean Fuzzy AHP and Moora methods: An application for an airline

The airline industry is fiercely competitive, and choosing new locations is essential to maintaining carriers' competitiveness and financial success. However, because there are so many different variables and requirements to take into account, this procedure is frequently difficult and complex. An effective choice of new routes can result in large benefits and returns, but an inefficient choice can have negative effects. To help airline firms choose the best routes and destinations, it is crucial to establish efficient frameworks and decision-making techniques. By evaluating and validating the key factors that influence airlines' decision-making processes, this research intends to alleviate the difficulties associated with new route selection in the airline sector. What is the primary factors influencing airlines' choice of new routes? is the research question that directs this investigation. A two-pronged methodology is used to accomplish the study goal. The first route entails desk research, which includes looking at a number of instances and the literature on the current conceptual framework. This contributes to a thorough grasp of the variables and standards used to choose a new path. The second way emphasizes the employment of a hybrid model that combines the Interval-Valued Pythagorean Fuzzy AHP technique for weighting the chosen criteria and the MOORA method for evaluating and ranking the alternatives. The results of this study show that the main criteria of cost (40% weight) and demand (17% weight) impact route selection decisions more than social and economic conditions (28% weight) and competitiveness (15% weight). This study adds to the body of knowledge in the area of choosing new airline routes and offers useful information to industry decision-makers. Airlines may improve their competitiveness and profitability by tackling the difficulties and uncertainties involved in choosing new routes and by ultimately making more strategic decisions. Keywords: Aviation Industry, Fuzzy MOORA Method, New Route Selection, Pythagorean Fuzzy AHP.