It's important to extract an appropriate fuzzy rules set for multi-classification problems that have fuzzy variables.
对于具有多模糊特征变量的多分类问题，自动提取适当的模糊模式识别规则集至关重要。
Although there are many kinds of methods to optimize compute, it is difficult to artificially set fuzzy rules, even impossible.
尽管用各种方法进行优化计算，人工设定模糊规则还是很困难的，甚至是不可能的。
On the basis of fuzzy clustering and rough set, an algorithm for extracting fuzzy rules was proposed.
提出了一种基于模糊软分类和粗糙集理论来提取模糊规则的一种算法。
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