直觉模糊匹配的语义距离与贴近度

On Semantic Distance and Near Compactness for Intuitionistic Fuzzy Match

首先引用Atanassov直觉模糊集的基本概念,阐述了直觉模糊推理的语义匹配问题,给出了计算直觉模糊匹配度的语义距离与贴近度扩展方法,重点研究了直觉模糊贴近度扩展计算模型与直觉模糊语义距离,包括在离散论域和连续论域上的海明距离、欧氏距离、明可夫斯基距离、切比雪夫距离等扩展计算模型,提出了将直觉模糊贴近度与直觉模糊语义距离转换成直觉模糊匹配度的方法。

The fundamental notions and operations on Atanassov's Intuitionistic Fussy Sets are first introduced, and the semantic matching problem of intuitionistic fuzzy reasoning is described with the emphasis on proposing the extensions of methods for computing the semantic distance and near compactness as the measurement of intuitionistic fuzzy matching degree and on investigating the extensions of models for computing intuitionistic fuzzy near compactness and semantic distance, such as Hamming distance, Euclidean distance, Minkovski distance and Chebyishev distance, etc. on both space of discrete and continuous domain. The techniques for transforming intuitionistic fuzzy near compactness or semantic distance into intuitionistic fuzzy matching degree are exposed.