What is it about?
Timely and accurate assessment of battlefield attacks can improve the utilization of firepower resources and achieve optimal combat effectiveness. However, due to the complexity and uncertainty of the environment in actual war, it is difficult to obtain accurate target damage information, which can be expressed as uncertain, incomplete or fuzzy decision information in mathematics. We uesd SMAA method to evaluate the damage level of target under uncertain environment.
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Why is it important?
This paper mainly breaks through the problem of target damage assessment under random incomplete information. Based on the characteristics of target vulnerability and multiple damage elements, we established a target damage evaluation model with multiple damage parameters, and fitted the damage results. We studied the relationship between target damage efficiency and each damage parameter. Aiming at the problem of optimizing the maximum damage of targets with uncertain information, we established the maximum damage optimization model by taking the maximum damage probability as the objective function.
Perspectives
We have been committed to researching the issue of target damage assessment on the battlefield, and this paper has some innovative points that we would like to share with you.
Xuewei Zhang
Xi'an Technological University
Read the Original
This page is a summary of: Research on target damage evaluation and optimization algorithm based on random incomplete information, AIP Advances, February 2024, American Institute of Physics,
DOI: 10.1063/5.0194318.
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