METHOD OF FORECASTING PSYCHOGENIC LOSSES OF MILITARY PERSONNEL DURING COMBAT TASKS

V. Batsamut, I. Prykhodko
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Abstract

The article presents a modern classification of total losses of personnel in a special period, clarified the content of irreversible, sanitary and psychogenic losses and proposed a methodology for forecasting psychogenic losses of servicemen of the security and defense sector of Ukraine when performing combat tasks in a special period. The basis of the developed methodology is the extrapolation method of forecasting theory based on trend models. To approximate the identified trends and extrapolate them to the future, the second-order polynomial is used in the methodology, which is able to describe changes in speed and acceleration that occur during the development of a dynamic process. In addition, the methodology uses a toolkit for discounting initial data, which makes it possible to give greater significance to the latest observations of a dynamic series in the event of sudden changes in the dynamic process. Conversely, if the dynamic series is free from sharp fluctuations, the formation of forecast estimates will be influenced by all elements of this series equally. Therefore, the forecaster has the opportunity to assess the dynamics of psychogenic losses that have occurred in a certain unit, military unit (unit), and adjust the forecasting tool (methodology) accordingly. The produced predictive assessment of psychogenic losses consists of point and interval estimates determined for a prescriptively established confidence probability value. To make predictions about the number of psychogenic losses, the technique uses real accumulated statistical data on such losses in a unit, military unit or unit over the past period of time. Due to this approach, the technique is universal and, therefore, can be used in any formation of the security and defense forces of Ukraine.
作战任务中军事人员心理损失预测方法
本文提出了特殊时期人员总损失的现代分类,明确了不可逆损失、卫生损失和心理损失的内容,并提出了预测乌克兰安全和国防部门军人在特殊时期执行战斗任务时心理损失的方法。该方法的基础是基于趋势模型的预测理论外推法。为了近似确定的趋势并将其外推到未来,该方法中使用了二阶多项式,它能够描述动态过程发展过程中发生的速度和加速度变化。此外,该方法使用了一个工具包来贴现初始数据,这使得在动态过程突然变化的情况下,动态序列的最新观测结果具有更大的意义。相反,如果动态序列没有剧烈波动,则预测估计的形成将受到该序列所有要素的同等影响。因此,预报员有机会评估在某个单位、军事单位(单位)发生的心理损失的动态,并相应地调整预测工具(方法)。产生的心理损失的预测评估包括为规定建立的置信度概率值确定的点和区间估计。为了预测心理损失的数量,该技术使用了一个单位、军事单位或过去一段时间内此类损失的真实累积统计数据。由于这种方法,这种技术是普遍的,因此可以在乌克兰安全和国防部队的任何编制中使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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