However, fuzzy equivalence relations provide a way to layer and granulate object space. 这些约简降低了模糊特征空间的维数，避免了冗余规则，降低了模糊规则推理的复杂性。
As a nonlinear method, the fuzzy rule-based pattern recognition has good comprehensibility, but has not been applied to the multiple classifier fusion. 而基于模糊规则的模式识别方法是一类可理解性好的非线性方法，但迄今为止还没有被应用于多分类器融合问题中。
