A Study of Risk Preference for Node Enterprises of Supply Chain Based on Historical Behavior Data in Cloud Computing

Based on the constructed enterprises risk index system, the model adopts analytic hierarchy process (AHP) method to calculate the weight of each index, then the algorithm to generate risk preference matrix for node enterprises has been proposed by using the historical cooperative behavior stored on the cloud computing platform. Moreover, combining the weight of each index and the risk preference matrix above, getting the risk preference level of the node enterprises through the method of the fuzzy synthetic decision. Finally, the experimental results demonstrate that this method is reasonable and feasible.