M-CFIS-R: Mamdani Complex Fuzzy Inference System with Rule Reduction Using Complex Fuzzy Measures in Granular Computing

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Bibliographische Detailangaben
Veröffentlicht in:	Mathematics Jg. 8; S. 707
Hauptverfasser:	Trần Mạnh Tuấn, Luong Thi Hong Lan, Shuo‐Yan Chou, Trần Thị Ngân, Lê Hoàng Sơn, Nguyễn Long Giang, Mumtaz Ali
Format:	Journal Article
Sprache:	Japanisch
Veröffentlicht:	MDPI AG 03.05.2020
Schlagworte:	Adaptive neuro fuzzy inference system Artificial intelligence Complex fuzzy measure complex fuzzy set complex fuzzy set; similarity measure; complex fuzzy measure; Mamdani Complex Fuzzy Inference System (M-CFIS); rule reduction; granular computing Computational Theory and Mathematics Computer science Data mining Defuzzification FOS: Mathematics Fuzzy classification Fuzzy control system Fuzzy logic Fuzzy Logic Systems Fuzzy number Fuzzy rule Fuzzy Rule-Based Systems Fuzzy set Fuzzy set operations Genetic Fuzzy Systems granular computing Interval Type-2 Fuzzy Logic Jaccard index Mamdani complex fuzzy inference system (M-CFIS) Mathematics Measure (data warehouse) Multi-label Text Classification in Machine Learning Neuro-Fuzzy Methods Pattern recognition (psychology) Physical Sciences QA1-939 Rough set Rough Sets Theory and Applications Rule reduction similarity measure Type-2 Fuzzy Logic Systems and Applications Type-2 fuzzy sets and systems
ISSN:	2227-7390
Online-Zugang:	Volltext
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