Cargando…

A Novel Uncertainty Management Approach for Air Combat Situation Assessment Based on Improved Belief Entropy

Uncertain information exists in each procedure of an air combat situation assessment. To address this issue, this paper proposes an improved method to address the uncertain information fusion of air combat situation assessment in the Dempster–Shafer evidence theory (DST) framework. A better fusion r...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Ying, Tang, Yongchuan, Zhao, Xiaozhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514984/
https://www.ncbi.nlm.nih.gov/pubmed/33267209
http://dx.doi.org/10.3390/e21050495
_version_ 1783586713900154880
author Zhou, Ying
Tang, Yongchuan
Zhao, Xiaozhe
author_facet Zhou, Ying
Tang, Yongchuan
Zhao, Xiaozhe
author_sort Zhou, Ying
collection PubMed
description Uncertain information exists in each procedure of an air combat situation assessment. To address this issue, this paper proposes an improved method to address the uncertain information fusion of air combat situation assessment in the Dempster–Shafer evidence theory (DST) framework. A better fusion result regarding the prediction of military intention can be helpful for decision-making in an air combat situation. To obtain a more accurate fusion result of situation assessment, an improved belief entropy (IBE) is applied to preprocess the uncertainty of situation assessment information. Data fusion of assessment information after preprocessing will be based on the classical Dempster’s rule of combination. The illustrative example result validates the rationality and the effectiveness of the proposed method.
format Online
Article
Text
id pubmed-7514984
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-75149842020-11-09 A Novel Uncertainty Management Approach for Air Combat Situation Assessment Based on Improved Belief Entropy Zhou, Ying Tang, Yongchuan Zhao, Xiaozhe Entropy (Basel) Article Uncertain information exists in each procedure of an air combat situation assessment. To address this issue, this paper proposes an improved method to address the uncertain information fusion of air combat situation assessment in the Dempster–Shafer evidence theory (DST) framework. A better fusion result regarding the prediction of military intention can be helpful for decision-making in an air combat situation. To obtain a more accurate fusion result of situation assessment, an improved belief entropy (IBE) is applied to preprocess the uncertainty of situation assessment information. Data fusion of assessment information after preprocessing will be based on the classical Dempster’s rule of combination. The illustrative example result validates the rationality and the effectiveness of the proposed method. MDPI 2019-05-14 /pmc/articles/PMC7514984/ /pubmed/33267209 http://dx.doi.org/10.3390/e21050495 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhou, Ying
Tang, Yongchuan
Zhao, Xiaozhe
A Novel Uncertainty Management Approach for Air Combat Situation Assessment Based on Improved Belief Entropy
title A Novel Uncertainty Management Approach for Air Combat Situation Assessment Based on Improved Belief Entropy
title_full A Novel Uncertainty Management Approach for Air Combat Situation Assessment Based on Improved Belief Entropy
title_fullStr A Novel Uncertainty Management Approach for Air Combat Situation Assessment Based on Improved Belief Entropy
title_full_unstemmed A Novel Uncertainty Management Approach for Air Combat Situation Assessment Based on Improved Belief Entropy
title_short A Novel Uncertainty Management Approach for Air Combat Situation Assessment Based on Improved Belief Entropy
title_sort novel uncertainty management approach for air combat situation assessment based on improved belief entropy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514984/
https://www.ncbi.nlm.nih.gov/pubmed/33267209
http://dx.doi.org/10.3390/e21050495
work_keys_str_mv AT zhouying anoveluncertaintymanagementapproachforaircombatsituationassessmentbasedonimprovedbeliefentropy
AT tangyongchuan anoveluncertaintymanagementapproachforaircombatsituationassessmentbasedonimprovedbeliefentropy
AT zhaoxiaozhe anoveluncertaintymanagementapproachforaircombatsituationassessmentbasedonimprovedbeliefentropy
AT zhouying noveluncertaintymanagementapproachforaircombatsituationassessmentbasedonimprovedbeliefentropy
AT tangyongchuan noveluncertaintymanagementapproachforaircombatsituationassessmentbasedonimprovedbeliefentropy
AT zhaoxiaozhe noveluncertaintymanagementapproachforaircombatsituationassessmentbasedonimprovedbeliefentropy