Fuzzification of slow-to-start cellular automaton

Abstract

A new time-evolution expression for the slow-to-start (SLS) model is proposed using a univariate polynomial, which can be applied to the temporal evolution of the fuzzified SLS model. The properties of the proposed model were compared with those of existing models, demonstrating that fuzzification can enhance known models by yielding improved properties.