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.
引用
收藏
相关论文
共 50 条
  • [1] Predict the logistic risk: fuzzy comprehensive measurement method or particle swarm optimization algorithm?
    Xu, Dafeng
    Pretorius, Leon
    Jiang, Dongdong
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2018,
  • [2] Fuzzy Particle Swarm Optimization Algorithm
    Tian, Dong-ping
    Li, Nai-qian
    FIRST IITA INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2009, : 263 - 267
  • [3] Fuzzy neural network optimization by a particle swarm optimization algorithm
    Ma, Ming
    Zhang, Li-Biao
    Ma, Jie
    Zhou, Chun-Guang
    ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 1, 2006, 3971 : 752 - 761
  • [4] A learning method in fuzzy Petri nets based on particle swarm optimization algorithm
    Yuan Ju-mei
    Wang Ben-yi
    ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 2569 - 2572
  • [5] Fuzzy Supervised Clustering Algorithm with the Particle Swarm Optimization
    Lin, Yuan-horng
    Yih, Jeng-ming
    Wu, Shin-hua
    2018 INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION AND NETWORK TECHNOLOGY (CCNT 2018), 2018, 291 : 22 - 26
  • [6] Comprehensive Optimization of Batch Process based on Particle Swarm Optimization Algorithm
    Yang, Lan
    Pan, Hai-Peng
    Zhang, Yi-Bo
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 4504 - 4508
  • [7] An Improved Method for Comprehensive Learning Particle Swarm Optimization
    Wang, Zi-Jia
    Zhan, Zhi-Hui
    Zhang, Jun
    2015 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI), 2015, : 218 - 225
  • [8] Applying particle swarm optimization algorithm to roundness measurement
    Sun, Te-Hsiu
    EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (02) : 3428 - 3438
  • [9] Applying particle swarm optimization algorithm to roundness measurement
    Cheng, Chun-Yuan
    Lo, Chih-Chung
    Chiang, Chien-Yu
    Tien, Fang Chih
    2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8, 2007, : 1275 - +
  • [10] Applying particle swarm optimization algorithm to roundness measurement
    Department of Industrial Engineering and Management, Chaoyang University of Technology, 168, Gifeng East Road, Wufeng, 413 Taichung County, Taiwan
    Expert Sys Appl, 1600, 2 PART 2 (3428-3438):
12345