Cargando…

Evidence conflict measure based on OWA operator in open world

Dempster-Shafer evidence theory has been extensively used in many information fusion systems since it was proposed by Dempster and extended by Shafer. Many scholars have been conducted on conflict management of Dempster-Shafer evidence theory in past decades. However, how to determine a potent param...

Descripción completa

Detalles Bibliográficos
Autores principales: Jiang, Wen, Wang, Shiyu, Liu, Xiang, Zheng, Hanqing, Wei, Boya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436833/
https://www.ncbi.nlm.nih.gov/pubmed/28542271
http://dx.doi.org/10.1371/journal.pone.0177828
_version_ 1783237477170937856
author Jiang, Wen
Wang, Shiyu
Liu, Xiang
Zheng, Hanqing
Wei, Boya
author_facet Jiang, Wen
Wang, Shiyu
Liu, Xiang
Zheng, Hanqing
Wei, Boya
author_sort Jiang, Wen
collection PubMed
description Dempster-Shafer evidence theory has been extensively used in many information fusion systems since it was proposed by Dempster and extended by Shafer. Many scholars have been conducted on conflict management of Dempster-Shafer evidence theory in past decades. However, how to determine a potent parameter to measure evidence conflict, when the given environment is in an open world, namely the frame of discernment is incomplete, is still an open issue. In this paper, a new method which combines generalized conflict coefficient, generalized evidence distance, and generalized interval correlation coefficient based on ordered weighted averaging (OWA) operator, to measure the conflict of evidence is presented. Through ordered weighted average of these three parameters, the combinatorial coefficient can still measure the conflict effectively when one or two parameters are not valid. Several numerical examples demonstrate the effectiveness of the proposed method.
format Online
Article
Text
id pubmed-5436833
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-54368332017-05-27 Evidence conflict measure based on OWA operator in open world Jiang, Wen Wang, Shiyu Liu, Xiang Zheng, Hanqing Wei, Boya PLoS One Research Article Dempster-Shafer evidence theory has been extensively used in many information fusion systems since it was proposed by Dempster and extended by Shafer. Many scholars have been conducted on conflict management of Dempster-Shafer evidence theory in past decades. However, how to determine a potent parameter to measure evidence conflict, when the given environment is in an open world, namely the frame of discernment is incomplete, is still an open issue. In this paper, a new method which combines generalized conflict coefficient, generalized evidence distance, and generalized interval correlation coefficient based on ordered weighted averaging (OWA) operator, to measure the conflict of evidence is presented. Through ordered weighted average of these three parameters, the combinatorial coefficient can still measure the conflict effectively when one or two parameters are not valid. Several numerical examples demonstrate the effectiveness of the proposed method. Public Library of Science 2017-05-18 /pmc/articles/PMC5436833/ /pubmed/28542271 http://dx.doi.org/10.1371/journal.pone.0177828 Text en © 2017 Jiang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Jiang, Wen
Wang, Shiyu
Liu, Xiang
Zheng, Hanqing
Wei, Boya
Evidence conflict measure based on OWA operator in open world
title Evidence conflict measure based on OWA operator in open world
title_full Evidence conflict measure based on OWA operator in open world
title_fullStr Evidence conflict measure based on OWA operator in open world
title_full_unstemmed Evidence conflict measure based on OWA operator in open world
title_short Evidence conflict measure based on OWA operator in open world
title_sort evidence conflict measure based on owa operator in open world
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436833/
https://www.ncbi.nlm.nih.gov/pubmed/28542271
http://dx.doi.org/10.1371/journal.pone.0177828
work_keys_str_mv AT jiangwen evidenceconflictmeasurebasedonowaoperatorinopenworld
AT wangshiyu evidenceconflictmeasurebasedonowaoperatorinopenworld
AT liuxiang evidenceconflictmeasurebasedonowaoperatorinopenworld
AT zhenghanqing evidenceconflictmeasurebasedonowaoperatorinopenworld
AT weiboya evidenceconflictmeasurebasedonowaoperatorinopenworld