Fuzzy Entropy Clustering Approach to Evaluate the Reliability of Emergency Logistics System

Abstract Because of burstiness, weak economy, time-uncertain of emergency logistics system, the paper constructs the operation model and its evaluation index system for emergency logistics system. In view of the imperfection of subjective determining index weight method in traditional evaluation, the index weight coefficients are determined by information entropy method of combining subjective judgment with objective evaluation. Then the fuzzy clustering and information entropy to determine the weights are used into emergency logistics system reliability evaluation. Finally the paper obtains a specific solution steps based on an example.