Objective To improve prediction accuracy, increase the ability of equipment support forces operating security and security level, to gain higher military economic benefit. Methods Variable precision rough set and rough set were combined to research characteristics of the actual task. For example, in-depth analysis of aviation in different environment, different re-gions, and different battle damage conditions such as mission of combat equipment quantity were carried out to reduce the mu-tual influence between the different factors data generated by the noise. Results When executing the duty of equipment support in wartime missions in the plateau, the desert, the combat equipment consumption was large; in case of equipment support in wartime missions in coastal areas, the combat equipment consumption was small; when performing the duty of equipment sup-port in wartime in plain region, the small equipment consumption was tiny even negligible. In performing the duty of equipment support in plain area in wartime, the equipment consumption was high. Conclusion This method is helpful to enhance the pre-diction precision of wartime equipment, greatly saves equipment of logistics cost.%目的 提升预测精度,提高作战装备保障部队的保障能力和保障水平,从而获得更高的军事经济效益.方法 通过将变精度粗糙集和相容粗糙集相结合,研究实际保证任务的特点,以飞机装备为例,深入分析航空兵部队在不同环境、不同地区、不同战损等条件下执行任务所消耗的作战装备数量,减少不同因素之间的相互影响所产生的数据噪声.结果 当在高原、沙漠地区执行战时装备保障任务时,该项作战装备消耗量大;在沿海地区执行战时装备保障任务时,该项作战装备消耗量小;在平原地区执行战时装备保障任务时,该项装备消耗量小甚至无消耗;在平原地区执行战时装备保障任务时,该项装备为高消耗.结论 此方法有利于加强对战时装备预测的精准度,大大节省了装备的物流成本.
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