瓶颈
计算机科学
领域(数学)
星团(航天器)
模糊逻辑
云计算
评价方法
数据挖掘
系统工程
人工智能
工程类
可靠性工程
操作系统
数学
纯数学
嵌入式系统
作者
Xuefeng Peng,JiaSheng Liu,ZongMiao Dai
摘要
In the field of unmanned platform operations, the evaluation and analysis of the efficiency of unmanned platform cluster operations is a technical bottleneck. This article conducts an evaluation and analysis of the efficiency of unmanned platform cluster operations, using qualitative knowledge reasoning methods based on fuzzy reasoning and cloud models to evaluate the efficiency of operations. The evaluation results show that this evaluation method can achieve uncertainty conversion between qualitative concepts and quantitative values, It can better express the uncertainty of data and expert knowledge in target performance evaluation, and through multiple optimization reasoning, the impact of uncertainty in target information on performance evaluation values can be eliminated, effectively improving the judgment ability of cluster operations and laying the foundation for the application of unmanned equipment cluster collaborative operations in future operations.
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