该系统具有很好的灵活性和可调性，实验表明该模型的应用提高了系统的分类精度，增强了系统的泛化能力。
The new system is flexible and adjustable. The experimental results show that the application of this model improves the classification accuracy and generalization capability of the system.
粗略的归纳可知，还原性、语气单调性、属性介值性或单调性、保正规性、泛逼近性和运算简单性应该是最基本的要求。
Via rough induction, we can see that consistency of inference. monotonicity on linguistic mood. interposal property. normality and computational simplicity should be a basic requirement.
粗略的归纳可知，还原性、语气单调性、属性介值性或单调性、保正规性、泛逼近性和运算简单性应该是最基本的要求。
Via rough induction, we can see that consistency of inference. monotonicity on linguistic mood. interposal property. normality and computational simplicity should be a basic requirement.
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