mathematical modeling of cancer cells and chemotherapy protocol dealing optimization using fuzzy differential equations and lypunov stability criterion

mathematical models can simulate the growth and proliferation of cells in the interaction with healthy cells, the immune system and measure the toxicity of drug and its effects on healthy tissue pay. one of the main goals of modeling the structure and growth of cancer cells is to find a control model suitable for administration among patients. in this study, a new mathematical model is designed to describe the changes in different phases of the cycle t cell proliferation, the population of immune cells, the proposed concentration of drug toxicity and treatment using differential equation and fuzzy lyapunov stability, an optimal treatment protocol. one feature to consider is the rate of clearance of the drug in the body.