Based on k nearest neighbor algorithm, this paper discusses the training method of assistant commander to judge the situation in command training, and focuses on judging the situation level of a certain area in a specific event. Firstly, KNN model is introduced . Then, after understanding the principle of the algorithm, python tool is used to calculate, classify and visualize the test samples of 13 regions. Finally, according to the distance between the test sample and the test sample, the level ' risk ' of the test area X is calculated, and then a reference training method is proposed for the training of decision-making ability in command training to assist command training.
KEYWORDS: Roads, Data modeling, Analytical research, Cognitive modeling, Decision support systems, Chromium, Chemical elements, Visualization, Visual process modeling, Visual analytics
Based on the AHP algorithm, this paper discusses the training mode of decision-making auxiliary personnel ’ s decision-making quantitative ability in events, focusing on solving the rigid demand of the household of car purchase by constructing a matrix. Through the use of yaahp mathematical software for X a car purchase decision elements layer pairwise comparison, determine the scheme layer C1, C2, C3, C4 preferred weight, and then assist decision makers to X a car purchase targeted guidance, assist decision-making.
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