DocumentCode
3494342
Title
An adaptive fuzzy logic: fuzzy squared
Author
Molinari, Diego ; Park, Zei Shuk ; Otha, Michio
Author_Institution
Master Program in Sci. & Eng., Tsukuba Univ., Ibaraki, Japan
fYear
1995
fDate
26-28 Jul 1995
Firstpage
1313
Lastpage
1316
Abstract
This paper introduces a “continuous logic” constructed as a weighted sum of fuzzy AND and OR logics, called fuzzy squared. In order to provide adaptability to it, a parameter must be selected. A network model and a modified genetic algorithm are considered to meet the fuzzy squared logic needs. Simulations demonstrate that this logic can learn the behavior of a simple logic as well as of nonlinear control systems
Keywords
adaptive systems; fuzzy logic; genetic algorithms; adaptive fuzzy logic; continuous logic; fuzzy AND logic; fuzzy OR logic; fuzzy squared logic; modified genetic algorithm; network model; nonlinear control systems; weighted sum; Fuzzy logic; Genetic algorithms; Humans; Impedance matching; Logic circuits; Nonlinear control systems; Nonlinear equations;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers
Conference_Location
Hokkaido
Print_ISBN
0-7803-2781-0
Type
conf
DOI
10.1109/SICE.1995.526701
Filename
526701
Link To Document