基于2型直觉模糊集的欧氏贴近度的模式识别方法

Pattern Recognition Method Based on Euclidean Closeness Degree of Type 2 Intuitionistic Fuzzy Sets

摘要: 2型直觉模糊集是直觉模糊集的扩展，它具有处理不确定性、多关键因素性、模糊性和踌躇性等复杂问题的能力。本文提出了一种基于2型直觉模糊集的欧氏贴近度的识别方法。并用实例验证本文所提出方法的正确性，可在实际生活的类别识别问题中应用。

Abstract: Type 2 intuitionistic fuzzy set is an extension of intuitionistic fuzzy set, which has the ability to deal with complex problems such as uncertainty, multi-key factors, fuzziness and hesitation. In this paper, a recognition method based on Euclidean closeness degree of type 2 intuitionistic fuzzy sets is proposed. Examples are given to verify the correctness of the proposed method, which can be applied to real-life category recognition.