Air transportation, which provides fast, reliable and comfortable transportation, enables the different geographical areas to be closer, and thus it causes to develop the commercial, touristic and social life and to meet different cultures. Privatization, commercialism, liberalization concepts along with the rapid developments of economic and social transformations has not only influenced the air carrier system but also airports which are the most important elements of the air transportation system. In the frame of these new concepts, airports which are the ones of the basic service sector investments are transformed from the public investments providing only transportation needs, to the investments making trade and earning profits by providing various type of services. Some of these airports have big goals such as being international hubs which supply much more gains not only for themselves but also for theirregion and countries. By all these transformations and goals, in order to go further and better levels, in the sense of operation of the airports, evaluating the internal performances of airports and benchmarking them with similar airports should be performed, then necessary improvements and arrangements in the direction of the performance results should be applied. At the airports, there are different customers and interest groups which have different expectations from the airports. These are mainly passengers, airlines, airport operators and regional residents. In this study, arising from the idea of "airports' performances should be represented not only by the performance levels of the expectations of one customer group, but also those of all customer or interest groups' as well", a customer oriented performance model composed of the service, operational and technical, financial and environmental criteria representing the expectations of passengers, airlines, airport operators and regional residents, has been developed for airports. This model enables the airports' internal performances to be evaluated and their performances to be compared with those of the other airports. With this model, it is aimed to stress that operating the airports at the highest performance levels depend on the activities which require multi responsibilities for reaching the goals. Because of the fact that there are many criteria to be evaluated for the model and the data required for these criteria are both objective and subjective, it is decided that the most suitable approach is Fuzzy Multi-Criteria Decision Making. In evaluation of the model, "Fuzzy TOPSIS" and "Fuzzy Simple Additive Weighting" methods were used and for Fuzzy TOPSIS method, Chen and Hwang's right and left scoring ranking, for Fuzzy Simple Additive Weighting method, Abdel- Kader and Dugdale's and Liou and Wang's ranking methods were applied. Weighting of the criteria and rating of the airports have been performed directly by customers and interest groups. In this study, two case studies were performed.… [ABSTRACT FROM AUTHOR]