Abstract
Using signed distance for defuzzification and order statistics for measuring relative weight are applied in fuzzy evaluation of service quality. Many literatures reveal that service quality is usually evaluated by statistical method and also focused on one specific ndustry. The statistical method can estimate the mean of customers' satisfactory level of each evaluation factor and it can also show the priority factors of the service quality for improvement. However, the satisfactory level of evaluation dimension and aggregate evaluation results can't be achieved by using statistical method. In this study, the evaluation rocess is proposed to improve the drawbacks of common statistical methods. Furthermore, an illustrative example is given to verify the results and show its advantages.