Title
-VFCA: -state Vector-valued Fuzzy Cellular Automata.
Abstract
Elementary fuzzy Cellular Automata (CA) are known as continuous counterpart of elementary CA, which are 2-state CA, via the polynomial representation of local rules. In this paper, we first develop a new fuzzification methodology for $q$-state CA. It is based on the vector representation of q-state CA, that is, the $q$-states are assigned to the standard basis vectors of the q-dimensional real space and the local rule can be expressed by a tuple of $q$ polynomials. Then, the q-state vector-valued fuzzy CA are defined by expanding the set of the states to the convex hull of the standard basis vectors in the $q$-dimensional real space. The vector representation of states enables us to enumerate the number-conserving rules of 3-state vector-valued fuzzy CA in a systematic way.
Year
Venue
DocType
2020
J. Cell. Autom.
Journal
Volume
Issue
Citations 
15
3
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Nishida Yuki100.34
Watanabe Sennosuke200.34
Fukuda Akiko311.19
Watanabe Yoshihide400.34