Fuzzy Interpolative Reasoning Method Based on Spline
作者： Gu JingYu
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摘要: When rule base is sparse, we cannot get any reasoning result by traditional fuzzy method for an observation in the gap between two neighboring antecedences. Fuzzy really equal to interpolation. For only considers neighbor- ring rules, classical KH linear interpolative partial and its consequence does not always keep convexity normality. So this paper presents a non-linear based on spline. And it extended handle multidimensional variables reasoning. Reasoning simple method; moreover can normality of consequence.
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