A Runge-Kutta numerical scheme applied in solving predator-prey fuzzy model with Holling type II functional response

The predator-prey model has been extensively studied, but only studies models in a certain environment, where all parameters and initial values involved the are assumed to be certain. In real practice, some often uncertain. To overcome this uncertainty problem, can made by using fuzzy theoretical approach. paper, we develop numerical scheme for solving two with Holling type II functional response considering populations. behavior of was studied qualitatively 5th order Runge-Kutta method which modified system Zadeh extension principle. simulation results show that, when populations prey predators fuzzy, would same as crisp model. Finally, conclude that resulting represents generalization behavior. This gives more realistic since solution is obtained explicitly problem uncertainty.