A new similarity measure between intuitionistic fuzzy sets based on transformation techniques

2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI:10.1109/ICMLC.2014.7009148

Shyi-Ming Chen, Chia-Hao Chang

引用次数: 6

Abstract

In this paper, we present a new similarity measure between intuitionistic fuzzy sets based on transformation techniques. First, we present a new similarity measure between intuitionistic fuzzy values based on transformation techniques. Then, based on the proposed similarity measure between intuitionistic fuzzy values, we propose a new similarity measure between intuitionistic fuzzy sets based on transformation techniques. The proposed similarity measure can overcome the drawbacks of the existing similarity measures between intuitionistic fuzzy sets.

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基于变换技术的直觉模糊集相似度度量

本文提出了一种基于变换技术的直觉模糊集相似性度量方法。首先，我们提出了一种基于变换技术的直觉模糊值之间的相似性度量方法。然后，在提出的直觉模糊值间相似度测度的基础上，提出了一种基于变换技术的直觉模糊集间相似度测度。本文提出的相似性度量方法克服了现有直觉模糊集之间相似性度量方法的不足。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2014 International Conference on Machine Learning and Cybernetics

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