DocumentCode
640982
Title
Approximation capability of SISO Fuzzy Relational Inference systems based on fuzzy implications
Author
Mandal, Srimanta ; Jayaram, Balasubramaniam
Author_Institution
Dept. of Math., Indian Inst. of Technol. Hyderabad, Hyderabad, India
fYear
2013
fDate
7-10 July 2013
Firstpage
1
Lastpage
8
Abstract
In this work, we show that fuzzy inference systems based on Fuzzy Relational Inference (FRI) with implicative interpretation of the rule base are universal approximators under suitable choice of operations for the rest of the components of the fuzzy system. The presented proofs make no assumption on the form or representations of the considered fuzzy implications and hence show that a much larger class of fuzzy implications other than what is typically considered in the literature can be employed meaningfully in FRIs based on implicative models.
Keywords
approximation theory; fuzzy set theory; inference mechanisms; FRI; SISO fuzzy relational inference systems; approximation capability; fuzzy implications; fuzzy inference systems; fuzzy system; implicative interpretation; universal approximators; Coherence; Function approximation; Fuzzy logic; Fuzzy sets; Kernel; Nickel; Fuzzy Relational Inference; Fuzzy implications; Universal approximation;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
Conference_Location
Hyderabad
ISSN
1098-7584
Print_ISBN
978-1-4799-0020-6
Type
conf
DOI
10.1109/FUZZ-IEEE.2013.6622438
Filename
6622438
Link To Document