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

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

Complex fuzzy theory has strong practical background in many important applications, especially in decision-making support systems. Recently, the Mamdani Complex Fuzzy Inference System (M-CFIS) has been introduced as an effective tool for handling events that are not restricted to only values of a g...

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Bibliographic Details
Main Authors: Tran Manh Tuan, Luong Thi Hong Lan, Shuo-Yan Chou, Tran Thi Ngan, Le Hoang Son, Nguyen Long Giang, Mumtaz Ali
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Mathematics
Subjects:
complex fuzzy set
similarity measure
complex fuzzy measure
Mamdani Complex Fuzzy Inference System (M-CFIS)
rule reduction
granular computing
Online Access:https://www.mdpi.com/2227-7390/8/5/707

Internet

https://www.mdpi.com/2227-7390/8/5/707

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