Fuzzy percolation model for acceleration induced loss of consciousness

The fuzzy percolation model introduced here is an attempt to account for uncertainty and imprecision inherent in the parameters used to develop the crisp percolation model for loss of consciousness under acceleration stress (B. Onard and J.P. Cammarota, “State transitions in physiologic systems: a complexity model for loss of consciousness”, IEEE Transactions on Biomedical Engineering, vol. 45, no. 8, p. 1017-23, 1998). Both models´ success in duplicating human experiments suggests that a precise description of the local parameters is not necessary when modeling a complex system, provided that the parameters remain within physiologically reasonable bounds