There is a dramatic increase in the amount of product returns mainly due to rapid technological developments and more liberal return policies. This has increased the importance of the reverse logistics which involves the collection and either recovery or disposal of returned products. Many companies outsource their reverse logistics operations to third-party reverse logistics providers in order to ensure the cost-effective management of product returns. Hence successful implementation of third party reverse logistics highly depends on the systematic evaluation of alternative third-party reverse logistics providers. In this study, a novel third-party reverse logistics provider evaluation methodology based on fuzzy axiomatic design is proposed. A numerical example is also provided in order to illustrate the applicability of the proposed approach.