我用到了模糊字符串匹配、FreeDB检索、ID3版本1和2，以及许多文本模式用户交互。
I used fuzzy string matching, FreeDB searches, ID3 versions 1 and 2, and lots of text-mode user interactions.
本文在决策表的基础上，阐述了模式识别的软硬匹配，提出用模糊决策方法进行搜索的理论。
The text which is built on decision table has explained hard and soft match of identification of model and furnished searching theory using fuzzy decision.
该方法用模糊概念描述异常，用数值运算代替模式匹配，并利用概率测度有效表示各因素间关系的不确定性。
It described anomaly as fuzzy conception, executed numerical operations instead of pattern matching, and expresses the uncertainty of relations of the factors by applying probability measure.
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