DocumentCode
351331
Title
Pseudo rule-driven model for a programmable T-norm
Author
Frías-Martínez, Enrique ; Gutierrez-Rios, Julio ; Fernandez-Hernandez, F.
Author_Institution
Dept. de Tecnologia Fotonica, Univ. Politecnica de Madrid, Spain
Volume
1
fYear
2000
fDate
7-10 May 2000
Firstpage
324
Abstract
Rule-driven processing has been proven to be a way of achieving high speed in fuzzy processing. Up to now, rule-driven architectures were designed to work with MIN or PROD as T-norm because they were the most commonly used in applications. The paper proposes a new rule-driven model valid for any T-norm (programmable T-norm) and any kind of membership functions, provided the overlap factor is two, and they are a fuzzy partition. The architecture proposed can be implemented either by hardware or software
Keywords
fuzzy set theory; fuzzy systems; knowledge based systems; fuzzy partition; membership functions; programmable T-norm; pseudo rule-driven model; rule-driven architectures; rule-driven processing; Application software; Artificial intelligence; Chromium; Computer architecture; Fuzzy sets; Fuzzy systems; Hardware; Partitioning algorithms; Pipeline processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1098-7584
Print_ISBN
0-7803-5877-5
Type
conf
DOI
10.1109/FUZZY.2000.838680
Filename
838680
Link To Document