客观环境下,针对一次采样观察数据构建的BBA(基苯信念分配)可能存在的瞬时异常问题,提出与稳态环境和置信度两个要素相关的客观置信BBA。定义一致分布规则,判定同源BBA问是否一致,给出利用其对一组同源周期采样BBA进行一致划分的5个相关性质。依据一致分布规则,获取一组同源周期采样BBA中的最大一致子集,基于此子集构建量化的客观置信BBA,并分析其合理性。将客观置信BBA应用于无人机作战仿真系统,与一次采样BBA对比,体现其提高合成决策的正确性、可靠性的优势。
Under the objective environment, for reasons of the possible instantaneous exception of the BBA (basic belief assignment) constructed from one-off sampling observation data, the objective eonfidence BBA was proposed, which was associated with the two elements, stable environment and confidence measure. The consentaneous distribution rule (CDR) was defined in order to determine whether the two BBAs from same source are consentaneous. Using the CDR, a group of periodical sampling BBAs from same source could be partitioned into finite consentaneous subsets, whose five characteristics were presented. According to the CDR, the maximal consentaneous subset (MCS) could be generated from a group of periodical sampling BBAs from same source. The quantitative objective confidence BBA was constructed from the MCS, whose validity was analyzed. Furthermore, the objective confidence BBA was applied to an unmanned aerial vehicle fight simulation system. Compared with one-off sampling BBA, its advantages of improving the correctness and reliability of combined decision were embodied.