Next Article in Journal
A Deformed Exponential Statistical Manifold
Next Article in Special Issue
The Arbitrarily Varying Relay Channe
Previous Article in Journal
A Novel Hybrid Meta-Heuristic Algorithm Based on the Cross-Entropy Method and Firefly Algorithm for Global Optimization
Previous Article in Special Issue
Bounded Rational Decision-Making from Elementary Computations That Reduce Uncertainty
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle

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

School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(5), 495; https://doi.org/10.3390/e21050495
Received: 17 March 2019 / Revised: 9 May 2019 / Accepted: 9 May 2019 / Published: 14 May 2019
  |  
PDF [362 KB, uploaded 14 May 2019]
  |  

Abstract

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. View Full-Text
Keywords: Dempster–Shafer evidence theory (DST); air combat situation assessment; belief entropy; uncertainty management; uncertainty measure Dempster–Shafer evidence theory (DST); air combat situation assessment; belief entropy; uncertainty management; uncertainty measure
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Zhou, Y.; Tang, Y.; Zhao, X. A Novel Uncertainty Management Approach for Air Combat Situation Assessment Based on Improved Belief Entropy. Entropy 2019, 21, 495.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top