| 摘要: |
| 介绍了软/硬情报融合新方法，分析了证据理论(DST)应用于软/硬情报融合的灵活性。
在此基础上，以Fagin-Halpern（FH） DS条件原理为依据，提出了一种面向情报融合中多源证
据的条件更新方法，避免了扩展识别框架，并明确了该方法的参数选取标准。另外，基于时间
表对融合过程进行短时划分，以提高融合的精确性。通过融合实例对所提方法进行了分析说
明。 |
| 关键词: 软/硬情报融合 条件证据更新 DST理论 参数选取 |
| DOI： |
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| 基金项目: |
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| Short time fusion of soft and hard intelligence based on conditional evidence update method |
| ZHA Liang-shuai,YANG Jian-bo,LIU Peng |
| () |
| Abstract: |
| A new soft/hard intelligence fusion is introduced,and the flexibility of
the Dempster-Shafter Theory (DST) applied to hard/soft intelligence fusi
on is analyzed. On this basis,a conditional evidence update method of multi-source evidence in intelligence fusion is proposed, which is based on the Fagin-Halpern（FH）DS conditional theory,so as to avoid expanding the frame of discernment, and clearly define the criteria of parameter selection. In addition, a short time area based on the
time table is divided for the fusion process to improve the fusion accuracy. Through the instances of fusion, the proposed methool is analyzed. |
| Key words: soft/hard intelligence fusion conditional evidence update DST theory parameter selection |
