Interval type-2 fuzzy logic systems optimization with swarm algorithms for data classification

2021 ◽  
Author(s):  
Dinh Sinh Mai
Keyword(s):  
Fuzzy Logic ◽  
Data Classification ◽  
Fuzzy Logic Systems ◽  
Swarm Algorithms ◽  
Logic Systems ◽  
Interval Type

Design of back propagation optimized Nagar-Bardini structure-based interval type-2 fuzzy logic systems for fuzzy identification

2021 ◽  
pp. 014233122110066
Author(s):  
Yang Chen ◽  
Jiaxiu Yang
Keyword(s):  
Fuzzy Logic ◽  
Back Propagation ◽  
Membership Functions ◽  
Identification Problems ◽  
Fuzzy Logic Systems ◽  
Fuzzy Identification ◽  
Logic Systems ◽  
Academic Topic ◽  
Interval Type

In recent years, fuzzy identification based on system identification theory has become a hot academic topic. Interval type-2 fuzzy logic systems (IT2 FLSs) have become a rising technology. This paper designs a type of Nagar-Bardini (NB) structure-based singleton IT2 FLSs for fuzzy identification problems. The antecedents of primary membership functions of IT2 FLSs are chosen as Gaussian type-2 primary membership functions with uncertain standard deviations. Then, the back propagation algorithms are used to tune the parameters of IT2 FLSs according to the chain rule of derivation. Compared with the type-1 fuzzy logic systems, simulation studies show that the proposed IT2 FLSs can obtain better abilities of generalization for fuzzy identification problems.

Application of Interval Type-2 Fuzzy Logic Systems for Control of the Coiling Entry Temperature in a Hot Strip Mill

2009 ◽  
pp. 352-359 ◽  
Author(s):  
Gerardo M. Méndez ◽  
Luis Leduc-Lezama ◽  
Rafael Colas ◽  
Gabriel Murillo-Pérez ◽  
Jorge Ramírez-Cuellar ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Hot Strip Mill ◽  
Fuzzy Logic Systems ◽  
Hot Strip ◽  
Logic Systems ◽  
Interval Type
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