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

dc.contributor.authorXu, Dafeng
dc.contributor.authorPretorius, Leon
dc.contributor.authorJiang, Dongdong
dc.date.accessioned2018-08-31T12:05:05Z
dc.date.available2018-08-31T12:05:05Z
dc.date.issued2018-12
dc.description.abstractRisk 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.departmentGraduate School of Technology Management (GSTM)en_ZA
dc.description.librarianam2018en_ZA
dc.description.sponsorshipMinistry of University of Pretoria, South Africa.en_ZA
dc.description.urihttps://jwcn-eurasipjournals.springeropen.comen_ZA
dc.identifier.citationXu, 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.issn1687-1472 (print)
dc.identifier.issn1687-1499 (online)
dc.identifier.other10.1186/s13638-018-1160-z
dc.identifier.urihttp://hdl.handle.net/2263/66417
dc.language.isoenen_ZA
dc.publisherSpringerOpenen_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.subjectLogistic risken_ZA
dc.subjectParticle swarm optimization (PSO)en_ZA
dc.subjectStochastic optimization methodsen_ZA
dc.subjectParticle swarm optimization algorithmen_ZA
dc.subjectFuzzy comprehensive measurement method (FCMM)en_ZA
dc.subjectDecision making processen_ZA
dc.subjectComparison of performanceen_ZA
dc.subjectStochastic modelsen_ZA
dc.subjectRisk managementen_ZA
dc.subjectRisk assessmenten_ZA
dc.subjectRisk analysisen_ZA
dc.titlePredict the logistic risk : fuzzy comprehensive measurement method or particle swarm optimization algorithm?en_ZA
dc.typeArticleen_ZA

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Xu_Predict_2018.pdf
Size:
563.44 KB
Format:
Adobe Portable Document Format
Description:
Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: