چكيده لاتين :
In this paper, the centralized return centers location evaluation problem in a reverse logistics network
is investigated. This problem is solved via an integrated analytic network process- fuzzy technique for order preference
by similarity to ideal solution approach. Analytic network process allows us to evaluate criteria preferences while
considering interdependence between them. On the other hand, technique for order preference by similarity to ideal
solution decreases the number of computational steps compared to simple analytic network process evaluation. An
important characteristic of the centralized return centers location evaluation problem, vagueness, is adapted to the
methodology via the usage of fuzzy numbers in the technique for order preference by similarity to ideal solution
approach. Finally, a numerical example is given to demonstrate the usefulness of the methodology. The results indicate
that, this integrated multi-criteria decision making methodology is suitable for the decision making problems that needs
considering multiple criteria conflicting each other. Also, by using this methodology, the interdependences between the
criteria may be considered for these kinds of problems in a flexible and systematic manner.
