A new algorithm, i. e., the point pattern fuzzy relaxation matching algorithm is applied to the tracking of targets.

本文将一种新型的点模式模糊松驰匹配算法用于目标跟踪。

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The relaxation detecting of effective feature segmentation is studied before matching capability of Scene Matching Algorithm of fuzzy entropy similarity metric can be improved.

研究了有效特征区域的松弛检测方法，对基于模糊熵差的景象匹配算法进行相应后处理，提高了匹配性能。

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This method can deal with the difficulties of determining minimum voltage security margin index to a certain extent. The relaxation of this index can be realized by a fuzzy parameter.

该方法可在一定程度上解决确定最小电压安全裕度指标的困难，通过最小电压安全裕度模糊参数，实现对该指标的松弛处理。

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