摘要
模糊相似度表示两个模糊集合之间的相似程度,是模糊逻辑中最常用的工具之一,在近似推理、模糊规则库精简、模式识别等领域有良好的应用前景。文章论述一型模糊相似度的发展现状,重点研究几种典型的一型模糊相似度。
As one of the most commonly used tools in fuzzy logic,the fuzzy similarity measure shows the similar degree between two fuzzy sets and has a good application prospect in some fields such as approximate analogical reasoning,rule base simplification and pattern recognition.In this paper,the development status of the similarity measure between type-1 fuzzy sets is discussed,and research is mainly focused on several typical similarity measures of type-1 fuzzy sets.
作者
郑高
潘凌
陈瑞
Zheng Gao;Pan Ling;Chen Rui(Department of Marine Engine and Electric Management, China Coast Guard Academy,Ningbo 315801,China;Technology Center of State Grid Xinyuan Co.Ltd,Beijing 100161,China)
出处
《信息化研究》
2018年第5期41-43,共3页
INFORMATIZATION RESEARCH
基金
浙江省教育厅一般科研项目(Y201636245)
武警海警学院海警研究所特约研究员项目"海警水上智能救援机器人"
关键词
模糊逻辑
一型模糊集合
一型模糊相似度
fuzzy logic
type-1 fuzzy set
similarity measure between type-1 fuzzy sets