On Integration Linguistic Factors to Fuzzy Similarity Measures and Intuitionistic Fuzzy Similarity Measures

P. Phong, V. T. Hue
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引用次数: 1

Abstract

The article is concerned with integrating linguistic elements into fuzzy similarity measures and intuitionistic fuzzy similarity measure. Some new concepts are proposed: a fuzzy linguistic value (FLv), a fuzzy linguistic vector (FLV), an intuitionistic fuzzy linguistic vector (ILV) and similarity measures. The proposed measures are used to build classification algorithms. As predicted theoretically, experiments show that with the same type of similarity measures, the linguistic-aggregated similarity measures produce better results in classification problems.
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模糊相似测度与直觉模糊相似测度的语言因素整合研究
本文研究了将语言要素整合到模糊相似测度和直觉模糊相似测度中。提出了一些新的概念:模糊语言值(FLv)、模糊语言向量(FLv)、直觉模糊语言向量(ILV)和相似度量。将提出的度量用于构建分类算法。正如理论预测的那样,实验表明,在相同类型的相似度度量下,语言聚合相似度度量在分类问题上取得了更好的结果。
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