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...
Autores principales: | , , , , |
---|---|
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 |