Paper Info
Title
Soft-Core Implementation For Centre Of Slice Area Average Defuzzifier
Abstract
Fuzzy systems are broad used for the decision making task given its capability of extract knowledge from an expert and translate it into rules that define described system. Implementations are made according to speed requirements of the problem, for the case of critical real time systems hardware is the best choice. One important issue on fuzzy systems is the final step, defuzzifier, when computed fuzzy data is turned into crisp data. There are many different defuzzifier methods from which most used for hardware purposes are Center Of Gravity and Mean Of Maxima. This work presents hardware implementation for Center of Slice Area Average defuzzifier, for digital soft-core implementation; its main advantages are reduction on resource consumption and reduction of calculation time without loss of accuracy.
Year
DOI
Venue
2011
10.1109/FUZZY.2011.6007448
IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011)
Keywords
Field
DocType
Soft Computing, Fuzzy Systems, Digital Systems, Discrete Numbers, Defuzzification
Resource consumption,Data mining,Defuzzification,Computer science,Implementation,Artificial intelligence,Knowledge extraction,Soft computing,Fuzzy control system,Machine learning,Knowledge acquisition,Center of gravity
Conference
ISSN
Citations 
PageRank 
1098-7584
0
0.34
References 
Authors
11
3
Name
Order
Citations
PageRank
Antonio Hernández Zavala1245.55
Oscar Camacho Nieto26514.93
Cornelio Yáñez-Márquez315326.34