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A New Similarity Measure between Intuitionistic Fuzzy Sets for Pattern Recognition Based on the Centroid Points of Transformed Fuzzy Numbers

机译:基于变换模糊数质心点的直觉模糊集之间的模式识别新度量

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This paper proposes a new similarity measure between intuitionistic fuzzy sets (IFSs) for pattern recognition based on the centroid points of transformed right-angled triangular fuzzy numbers to deal with pattern recognition problems. The proposed similarity measure between IFSs outperforms the existing similarity measures for dealing with the pattern recognition problems.
机译:本文提出了一种新的直觉模糊集(IFS)之间的相似度度量方法,该方法基于变换后的直角三角形模糊数的质心点来处理模式识别问题。所提出的IFS之间的相似性度量要优于现有的用于处理模式识别问题的相似性度量。

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