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中文摘要：
异类多传感器多属性目标识别中的描述性语义和决策属性信息无法直接进行识别判定,为此基于粒层转化的思想,提出了一种语义和决策属性识别方法。首先构造云映射函数,将语义和决策属性粒层统一到区间粒层,再根据灰色关联的思想计算区间化后的语义和决策属性信息与数据库之间的区间关联度,实现了不等粒层属性的粒度计算,最后采用证据推理进行了识别判定。结合语义和决策属性识别算例及对比分析,验证了所提出方法在异类数据模糊转化处理和识别上的有效性。
英文摘要：
Descriptive linguistic and decision attribute of target cannot be recognized with database directly in multiple asynchronous sensors multi-attribute target recognition domain.So a linguistic and decision attribute recognition method based on granular level transform is proposed to solve this problem.Firstly,with this algorithm,cloud mapping function is introduced,which unifies the linguistic and decision granular level to the same interval granular level.Then the interval degree of incidence between the transformed linguistic,decision interval and the interval database is calculated based on grey incidence theory,which achieves the granular computation among the multi-granularity levels.Finally,combined with the evidence theory the recognition result is obtained.The simulation and compared analysis of linguistic and decision attribute show the effectiveness of the proposed method in precision and fuzzy transform processing.
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