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Interval-Valued Intuitionistic Fuzzy Approximate Reasoning Based on a New Similarity Measure

机译:基于新的相似度量的区间值直觉模糊近似推理

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This paper presents a new similarity measure and its weighted similarity measure for interval-valued intuitionistic fuzzy sets (IvIFSs) based on score function and Hausdorff distance. The proposed new method for measuring the degree of similarity of IvIFs can be efficiently applied to the general IvIF approximate reasoning. Some numeric examples are given to illustrate the practicability and rationality of our proposed method.
机译:提出了一种基于得分函数和Hausdorff距离的区间值直觉模糊集(IvIFS)的新的相似度量及其加权相似度量。所提出的用于测量IvIF相似度的新方法可以有效地应用于一般IvIF近似推理。数值例子说明了该方法的实用性和合理性。

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