Xu, DafengPretorius, LeonJiang, Dongdong2018-08-312018-08-312018-12Xu, D., Pretorius, L. & Jiang, D. Predict the logistic risk: fuzzy comprehensive measurement method or particle swarm optimization algorithm?', Eurasip Journal on Wireless Communications and Networking (2018) 2018: 156. https://doi.org/10.1186/s13638-018-1160-z.1687-1472 (print)1687-1499 (online)10.1186/s13638-018-1160-zhttp://hdl.handle.net/2263/66417Risk analysis is an important fundamental basis of the decision-making process, and it has been applied in many fields. In order to improve the risk management of logistic, a new model based on particle swarm optimization (PSO) is proposed, which is a stochastic optimization method based on population. Through a comparison of performance with a Fuzzy Comprehensive Measurement Method (FCMM), the findings indicated that PSO can predict the logistic risk more accurately. The experimental results show that the model of logistic risk analysis and identification based on PSO algorithm is superior to FCMM model.en© The Author(s) 2018.This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/).Logistic riskParticle swarm optimization (PSO)Stochastic optimization methodsParticle swarm optimization algorithmFuzzy comprehensive measurement method (FCMM)Decision making processComparison of performanceStochastic modelsRisk managementRisk assessmentRisk analysisArticle