A Fuzzy-ANP Approach to Cooperation Risk Evaluation of Virtual Logistics Enterprise

Cooperation risk evaluation of virtual logistics enterprise is a typical multi-attribute measurement problem, which relates to many attributes and the relationships among them are very complex. A fuzzy analytic network process (F-ANP) approach was presented in this paper to evaluate the cooperation risk of virtual logistics enterprise. The F-ANP approach is not only capable of handling interdependence among elements by obtaining the composite weights of all the evaluation criteria through the development of a super matrix but also improves the human judgment on pairwise comparison scale of the evaluation criteria involving imprecise and vague with use of triangular fuzzy numbers. This paper also proposed an evaluation indexes system for the problem. A numerical example illustrates the approach is efficient.