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
         
        
        
        
        
            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"
         
        
        
            Conference_Titel : 
Electrical and Computer Engineering, 2000 Canadian Conference on
         
        
        
            Print_ISBN : 
0-7803-5957-7
         
        
        
            DOI : 
10.1109/CCECE.2000.849701