一型模糊相似度研究  

Research on Similarity Measure between 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)

机构地区：[1]武警海警学院机电管理系,宁波315801 [2]国网新源控股有限公司技术中心,北京100161

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"

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.

关 键 词：模糊逻辑 一型模糊集合 一型模糊相似度 

分 类 号：N94[自然科学总论—系统科学]