DocumentCode :
3782914
Title :
Application of fuzzy logic in CA/LGCA models as a way of dealing with imprecise and vague data
Author :
B. Di Stefano;H. Fuks;A.T. Lawniczak
Author_Institution :
Nuptek Syst. Ltd., Toronto, Ont., Canada
Volume :
1
fYear :
2000
Firstpage :
212
Abstract :
The authors discuss how to address qualitative aspects and problems of imprecise and vague data in modelling dynamics of spread of epidemics. As a possible solution we propose superposition of fuzzy logic with lattice gas cellular automata.
Keywords :
"Fuzzy logic","Lattices","Automata","Mathematical model","Diseases","Mathematics","Statistics","Differential equations","Microstructure","Tiles"
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2000 Canadian Conference on
ISSN :
0840-7789
Print_ISBN :
0-7803-5957-7
Type :
conf
DOI :
10.1109/CCECE.2000.849701
Filename :
849701
Link To Document :
بازگشت