It is also difficult to keep convexity and normality using KH linear interpolative reasoning method.
而采用KH线性插值推理也存在着难以保证推理结果的凸性和正规性等问题。
In order to get better result when rule base is sparse, we propose a similarity interpolative reasoning method which can keep the convexity and normality of the reasoning result better.
为了在稀疏规则条件下能有好的插值推理结果，提出了一种相似插位推理方法。
In order to get better result when rule base is sparse, we propose a similarity interpolative reasoning method which can keep the convexity and normality of the reasoning result better.
为了在稀疏规则条件下能有好的插值推理结果，提出了一种相似插位推理方法。
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