  Cancer is one of the most common diseases worldwide, posing a serious threat
to human health and leading to the deaths of a large number of people. It was
observed during the drug administration in chemotherapy that immune cells,
cancer cells and normal cells are killed or at least seriously injured and also
in order to keep dosage of the drug at specific level in body, drug should be
delivered in specific time and dosage. Therefore, to address these problems, a
decision-making process is needed to identify the most appropriate treatment
for cancer cases which causes killing of cancer cells by considering the number
of healthy cells that would be killed. Despite the latest technological
developments, the current methods need to be improved to suggest the most
optimized a dose of the drug for tumor cells discretely. It is expected that
our proposed ANFIS model be able to suggest the specialists the most optimum
dose of the drug, which considers all key factors including cancer cells,
immune and health cells. The results of the simulations exhibit the high
accuracy of the proposed intelligent controller during the treatment in
predicting the behavior of all key factors and minimize the usage dose of the
drug with regard this significant point that the proposed controller gives
discrete data for treatment which can fill the gap between engineering and
medical science.

Quantitative Methods;Tissues and Organs