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 bette...
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| Language: | English |
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MDPI AG
2019-05-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/21/5/495 |
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doaj-1b870f5e564f45c49b2ae35860cc23332020-11-24T21:28:57ZengMDPI AGEntropy1099-43002019-05-0121549510.3390/e21050495e21050495A Novel Uncertainty Management Approach for Air Combat Situation Assessment Based on Improved Belief EntropyYing Zhou0Yongchuan Tang1Xiaozhe Zhao2School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, ChinaUncertain 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.https://www.mdpi.com/1099-4300/21/5/495Dempster–Shafer evidence theory (DST)air combat situation assessmentbelief entropyuncertainty managementuncertainty measure |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Ying Zhou Yongchuan Tang Xiaozhe Zhao |
| spellingShingle |
Ying Zhou Yongchuan Tang Xiaozhe Zhao A Novel Uncertainty Management Approach for Air Combat Situation Assessment Based on Improved Belief Entropy Entropy Dempster–Shafer evidence theory (DST) air combat situation assessment belief entropy uncertainty management uncertainty measure |
| author_facet |
Ying Zhou Yongchuan Tang Xiaozhe Zhao |
| author_sort |
Ying Zhou |
| title |
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_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_sort |
novel uncertainty management approach for air combat situation assessment based on improved belief entropy |
| publisher |
MDPI AG |
| series |
Entropy |
| issn |
1099-4300 |
| publishDate |
2019-05-01 |
| 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. |
| topic |
Dempster–Shafer evidence theory (DST) air combat situation assessment belief entropy uncertainty management uncertainty measure |
| url |
https://www.mdpi.com/1099-4300/21/5/495 |
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