摘要
基于模糊环境给出多值不确定型直觉模糊集的概念,定义了集合的交、并、包含等基本运算性质。通过刻画集合间的相似程度,提出八个新的相似度公式。最后将相似度应用于识别决策,说明公式的实用性和有效性。
The notion of uncertain multi-value intuitive fuzzy set based on fuzzy environment is given, and the definition of intersection, union, inclusion are extended to such sets. The eight new formulae of similarity degree are presented after the similarity between sets is described. Finally, a practical example of pattern recognition is illustrated to show the availability and validity of the developed formulae.
出处
《运筹与管理》
CSSCI
CSCD
北大核心
2017年第5期69-73,共5页
Operations Research and Management Science
关键词
多值直觉模糊集
区间
三角模糊数
相似度
multi-value intuitionistic fuzzy set
interval
triangular fuzzy number
similarity degree
