The application of fuzzy analytic network process in risk evaluation of dynamic alliance

Due to its adaptation to environmental change and market competition, the organizational form of dynamic alliance has been developing rapidly in recent years, but it also brings significant risk to enterprises. Taking into account the interaction and feedback relationships between criteria/indices, an index system for evaluating the risk of dynamic alliance is presented. Considering the vagueness and inaccuracy of information during the evaluation process, a risk evaluation model for dynamic alliance based on fuzzy analytic network process method is proposed. The local weights of indices are determined by fuzzy preference programming method. Meanwhile, an unweighted supermatrix based on its network structure is built for those interactional indicators, and the limit supermatrix is calculated. Matlab software is used to solve the problems. Finally, a numerical example of the risk evaluation of a dynamic alliance is illustrated by proposed method.