Predict the logistic risk: fuzzy comprehensive measurement method or particle swarm optimization algorithm?

被引：0
|
作者：
Dafeng Xu
Leon Pretorius
Dongdong Jiang
机构：
[1] Shandong Jiaotong University,Economics and Management
[2] University of Pretoria,Department of Engineering and Technology Management
[3] South Africa,undefined
来源：
EURASIP Journal on Wireless Communications and Networking | / 2018卷
关键词：
Logistic risk; Particle swarm optimization; Fuzzy comprehensive measurement method;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Risk 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.
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