Paper Info
Title
Software Implementation Issues Of Existing And New Defuzzification Methods
Abstract
This paper discusses software implementation issues of different defuzzification procedures in fuzzy systems. Three new defuzzification methods are introduced which are suitable for efficient software and also hardware implementations. A set of seven important existing defuzzification methods are reviewed and compared with these new methods for different software implementation approaches. The C models of all methods are prepared to perform a comprehensive analysis on the output accuracy of different methods. The results prove the superiority of our new proposed methods. In another study, three categories of low-level assembly models are developed for each method to evaluate its software execution time and instruction count when executed on each of three chosen popular processors. Namely, Texas Instruments C6x (c) DSP, Intel's Pentium (c) IV, and IBM's PowerPC PPC405 (c) processors are used as the running engines for this comparison. Some accuracy-speed analysis diagrams are then introduced to guide the designers for choosing the defuzzification method which best suites their application requirements.
Year
DOI
Venue
2006
10.1109/FUZZY.2006.1681952
2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5
Keywords
Field
DocType
fuzzy system,fuzzy control,fuzzy set theory,fuzzy systems
Fuzzy electronics,Data mining,IBM,Computer science,Fuzzy set operations,Fuzzy set,Software,Artificial intelligence,Computer engineering,PowerPC,Neuro-fuzzy,Defuzzification,Machine learning
Conference
ISSN
Citations 
PageRank 
1098-7584
2
0.36
References 
Authors
8
3
Name
Order
Citations
PageRank
Abbas Banaiyan1271.84
Hamid Reza Mahdiani2283.89
Sied Mehdi Fakhraie313315.73