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9 October 2023 Target value analysis model study of objective network under subjective decision optimization
Kunyu Xiao, Qingyun Zuo, Xin Zhou
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Proceedings Volume 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023); 127911C (2023) https://doi.org/10.1117/12.3005111
Event: Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 2023, Qingdao, SD, China
Abstract
In order to quickly and accurately cognize targets and formulate optimal strategic solutions, this paper conducts a study of a comprehensive analysis model system for target values. The system is based on target intelligence information and actual requirements, and aims to efficiently assess the value of each entity target. Based on complex network theory, this method topologically abstracts the target types in the territory into six types of nodes and five types of links considering the influence of objective factors, and constructs a system model combining the subjective factors of commanders' decision making. And then the subjective willingness of commanders is fused through expert evaluation, using gray correlation to generate subjective decision indicators, combined with objective network attributes to form a combined subjective and objective target value analysis method. Finally, the complete EGE algorithm is constructed by combining the entropy value method, and the effectiveness and feasibility of the algorithm were verified by model simulation and comparison with traditional methods. The results show that the method is more in line with the actual mission evaluation requirements and is more adaptable to the actual mission scenarios.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Kunyu Xiao, Qingyun Zuo, and Xin Zhou "Target value analysis model study of objective network under subjective decision optimization", Proc. SPIE 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 127911C (9 October 2023); https://doi.org/10.1117/12.3005111
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KEYWORDS
Decision making
Histograms
Detection and tracking algorithms
Mathematical optimization
Systems modeling
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