Archive | 2019
Biochemical Reaction Networks with Fuzzy Kinetic Parameters in Snoopy
Abstract
Snoopy is a powerful modelling and simulation tool for various types of Petri nets, which have been applied to a wide range of biochemical reaction networks. We present an extended version of Snoopy, now supporting stochastic, continuous and hybrid Petri Nets with fuzzy kinetic parameters. Fuzzy parameters are specifically useful when kinetic parameter values can not be precisely measured or estimated. By running fuzzy simulation we obtain output bands of the variables of interest induced by the effect of the fuzzy kinetic parameters.