Correlation coefficient measurement for conflict evidence

The complex battlefield environment increases the uncertainty of reconnaissance information processing, so the uncertain information processing is investigated, especially the conflict evidence measurement, based on the belief functions. The normalized evidence correlation is defined as the correlat...

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Main Authors: Guidong SUN, Xin GUAN, Xiao YI, Jing ZHAO
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2018-12-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018277/
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author Guidong SUN
Xin GUAN
Xiao YI
Jing ZHAO
author_facet Guidong SUN
Xin GUAN
Xiao YI
Jing ZHAO
author_sort Guidong SUN
collection DOAJ
description The complex battlefield environment increases the uncertainty of reconnaissance information processing, so the uncertain information processing is investigated, especially the conflict evidence measurement, based on the belief functions. The normalized evidence correlation is defined as the correlation coefficient measurement for conflict evidence. In order to solve the drawback that the existing conflict evidence measurement methods do not distinguish the single set and multiple sets, the union core and core relational matrix are defined to modify the union core and core correlation respectively and further obtain the modified conflict evidence measurement. Finally, the efficiency of the proposed correlation coefficient measurement for conflict evidence is illustrated in the classical simulation example.
format Article
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institution Kabale University
issn 1000-436X
language zho
publishDate 2018-12-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-915e3815f7ac486399e12705c33850ca2025-01-14T07:15:54ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-12-0139303959722160Correlation coefficient measurement for conflict evidenceGuidong SUNXin GUANXiao YIJing ZHAOThe complex battlefield environment increases the uncertainty of reconnaissance information processing, so the uncertain information processing is investigated, especially the conflict evidence measurement, based on the belief functions. The normalized evidence correlation is defined as the correlation coefficient measurement for conflict evidence. In order to solve the drawback that the existing conflict evidence measurement methods do not distinguish the single set and multiple sets, the union core and core relational matrix are defined to modify the union core and core correlation respectively and further obtain the modified conflict evidence measurement. Finally, the efficiency of the proposed correlation coefficient measurement for conflict evidence is illustrated in the classical simulation example.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018277/belief functionconflict evidencecorrelation coefficientrelational matrix
spellingShingle Guidong SUN
Xin GUAN
Xiao YI
Jing ZHAO
Correlation coefficient measurement for conflict evidence
Tongxin xuebao
belief function
conflict evidence
correlation coefficient
relational matrix
title Correlation coefficient measurement for conflict evidence
title_full Correlation coefficient measurement for conflict evidence
title_fullStr Correlation coefficient measurement for conflict evidence
title_full_unstemmed Correlation coefficient measurement for conflict evidence
title_short Correlation coefficient measurement for conflict evidence
title_sort correlation coefficient measurement for conflict evidence
topic belief function
conflict evidence
correlation coefficient
relational matrix
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018277/
work_keys_str_mv AT guidongsun correlationcoefficientmeasurementforconflictevidence
AT xinguan correlationcoefficientmeasurementforconflictevidence
AT xiaoyi correlationcoefficientmeasurementforconflictevidence
AT jingzhao correlationcoefficientmeasurementforconflictevidence