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针对航空灾害协同预警过程中需要考虑从大量已有完全灾害数据信息中挖掘出预警规则,从实时不完全灾害数据信息中找出规则,判定所获取预警规则的有效性和合理性这3个问题,立足航空灾害协同预警数据信息中存在的“不相容”和“有序”特性,建立了基于绝对有序多属性概率粗糙集的航空灾害协同预警研究模型和方法,通过构建运行机制对其进行实例演算分析,可以有效地解决协同预警过程中所遇到的问题,从而获得有效且合理的预警规则。
In the process of collaborative early warning of aviation disasters, it is necessary to consider the early warning rules excavated from a large amount of existing complete disaster data, find the rules from the real-time incomplete disaster data and determine the validity and rationality of the obtained early warning rules Based on the characteristics of “incompatibility” and “orderliness” existing in collaborative early warning data of aviation disaster, a model and method of collaborative early warning research on aviation disaster based on absolute ordered multi-attribute probability rough set was established. By building It can effectively solve the problems encountered in the process of collaborative early warning, so as to obtain effective and reasonable early warning rules.