个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:数学科学学院
电子邮箱:yuanxh@dlut.edu.cn
Double-input Single-output Fuzzy Systems Based on Non-singleton Fuzzifiers
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论文类型:会议论文
发表时间:2015-01-01
收录刊物:CPCI-S
页面范围:44-49
关键字:fuzzy system; singleton fuzzifier; non-singleton fuzzifier; normal fuzzy implication; universal approximation
摘要:It is acknowledged that if we select singleton fuzzifiers and normal fuzzy implications to construct fuzzy systems, the constructed systems would not be universal approximators. In this paper, by using non-singleton fuzzifiers, four kinds of double-input single-output (DISO) fuzzy system based on normal fuzzy implications are constructed. And it has been proved that all of the resulting systems have the property of universal approximation. Besides, the simulation results also illustrate the effective of conclusion. This study indicates that non-singleton fuzzifiers will play an important role when we construct fuzzy systems.