Predict the logistic risk : fuzzy comprehensive measurement method or particle swarm optimization algorithm?
dc.contributor.author | Xu, Dafeng | |
dc.contributor.author | Pretorius, Leon | |
dc.contributor.author | Jiang, Dongdong | |
dc.date.accessioned | 2018-08-31T12:05:05Z | |
dc.date.available | 2018-08-31T12:05:05Z | |
dc.date.issued | 2018-12 | |
dc.description.abstract | 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. | en_ZA |
dc.description.department | Graduate School of Technology Management (GSTM) | en_ZA |
dc.description.librarian | am2018 | en_ZA |
dc.description.sponsorship | Ministry of University of Pretoria, South Africa. | en_ZA |
dc.description.uri | https://jwcn-eurasipjournals.springeropen.com | en_ZA |
dc.identifier.citation | Xu, 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. | en_ZA |
dc.identifier.issn | 1687-1472 (print) | |
dc.identifier.issn | 1687-1499 (online) | |
dc.identifier.other | 10.1186/s13638-018-1160-z | |
dc.identifier.uri | http://hdl.handle.net/2263/66417 | |
dc.language.iso | en | en_ZA |
dc.publisher | SpringerOpen | en_ZA |
dc.rights | © 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/). | en_ZA |
dc.subject | Logistic risk | en_ZA |
dc.subject | Particle swarm optimization (PSO) | en_ZA |
dc.subject | Stochastic optimization methods | en_ZA |
dc.subject | Particle swarm optimization algorithm | en_ZA |
dc.subject | Fuzzy comprehensive measurement method (FCMM) | en_ZA |
dc.subject | Decision making process | en_ZA |
dc.subject | Comparison of performance | en_ZA |
dc.subject | Stochastic models | en_ZA |
dc.subject | Risk management | en_ZA |
dc.subject | Risk assessment | en_ZA |
dc.subject | Risk analysis | en_ZA |
dc.title | Predict the logistic risk : fuzzy comprehensive measurement method or particle swarm optimization algorithm? | en_ZA |
dc.type | Article | en_ZA |