In this paper we develop a fuzzy TOPSIS method based on intuitionistic fuzzy values to solve multiple criteria decision making problems in which the performance rating of alternatives values and the weights of criteria are given by linguistic terms. Arithmetic operations between intuition-istic fuzzy values are used for normalizing imprecise ratings and weights of criteria. In order to demonstrate the effectiveness of the suggested method, we propose a case study aiming to evalu-ate and compare the service quality of five major airports in North Africa. The suggested method helps manager of airports know the needs of passengers and the priority of enhancing service items.

This paper aims to evaluate the performance of banks in Tunisia from 2011 to 2013. An approach based on relations between fuzzy numbers (BRONF) is used to solve the fuzzy data envelopment analysis (FDEA) model in presence of financial and non financial data. In addition, a methodology is proposed to treat imprecise inputs and outputs. The results show that, in a competitive environment, no-financial inputs and outputs should be taken into account in order to obtain credible and realistic efficiency scores.