UM
Dempster-Shafer structure based fuzzy logic system for stochastic modeling
Li, Han-Xiong; Wang, Yan; Chen, C. L. Philip
2017-07
Source PublicationAPPLIED SOFT COMPUTING
ISSN1568-4946
Volume56Pages:134-142
AbstractThe Dempster-Shafer (D-S) theory of evidence is introduced to improve fuzzy inference under the complex stochastic environment. The Dempster-Shafer based fuzzy set (DFS) is first proposed, together with its union and intersection operations, to capture the principal stochastic uncertainties. Then, the fuzzy inference will be modified based on the extensional Dempster rule of combination. This new approach is able to capture the stochastic disturbance acting on fuzzy membership function, and provide a more effective inference under strong stochastic uncertainty. Finally, the numerical simulation and the experimental prediction of the wind speed are conducted to show the potential of the proposed method in stochastic modeling. (C) 2017 Elsevier B.V. All rights reserved.
KeywordFuzzy logic system Dempster-Shafer theory Stochastic uncertainty
DOI10.1016/j.asoc.2017.02.018
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS IDWOS:000402364000011
PublisherELSEVIER SCIENCE BV
The Source to ArticleWOS
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Cited Times [WOS]:8   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Li, Han-Xiong,Wang, Yan,Chen, C. L. Philip. Dempster-Shafer structure based fuzzy logic system for stochastic modeling[J]. APPLIED SOFT COMPUTING,2017,56:134-142.
APA Li, Han-Xiong,Wang, Yan,&Chen, C. L. Philip.(2017).Dempster-Shafer structure based fuzzy logic system for stochastic modeling.APPLIED SOFT COMPUTING,56,134-142.
MLA Li, Han-Xiong,et al."Dempster-Shafer structure based fuzzy logic system for stochastic modeling".APPLIED SOFT COMPUTING 56(2017):134-142.
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