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A new method for fuzzy interpolative reasoning based on ranking values of polygonal fuzzy sets and automatically generated weights of fuzzy rules

机译:基于多边形模糊集的排名值的模糊插值推理的一种新方法,并自动生成模糊规则权重

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This paperproposes a new fuzzy interpolative reasoning method for sparse fuzzy rule-based systems based on ranking values of polygonal fuzzy sets and automatically generated weights of fuzzy rules. The experimental results show that the proposed method can overcome the drawbacks of the existing method for fuzzy interpolative reasoning in sparse fuzzy rule-based systems.
机译:本文基于多边形模糊集的排序值,自动生成模糊规则权重的基于稀疏模糊规则系统的新模糊插值推理方法。实验结果表明,该方法可以克服稀疏模糊规则系统中的模糊插值推理现有方法的缺点。

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