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Linear intensification of probabilistic fuzzy partitions

机译:概率模糊分区的线性强化

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摘要

Fuzziness of fuzzy sets can be reduced by intensification (sharpening) of large membership grades closer to one and small membership grades closer to zero. The relationship between intensification and partial defuzzification of a special type of fuzzy sets, fuzzy clusters, is studied. Some guidelines for assessment of the degree of possible defuzzification of a probabilistic fuzzy partition are suggested. An operator of linear intensification of fuzzy clusters is proposed and illustrated with examples. It is shown how different goals of partial defuzzification can be achieved by modification of this operator.
机译:可以通过增强(锐化)接近于1的大隶属等级和接近接近零的小隶属等级来减少模糊集的模糊性。研究了特殊类型的模糊集模糊簇的强化与部分反模糊化之间的关系。建议一些准则,以评估概率模糊分区可能进行的模糊化程度。提出了模糊聚类的线性强化算子,并通过实例进行了说明。显示了如何通过修改此运算符来实现部分反模糊化的不同目标。

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