In my work, based on a model, which is found in the literature, use the behavior of the tumors, using four state variables (tumor cells, normal cells, immune cells and amount of chemotherapy).
I studied the chemotherapy-free and the raised tumor cell population versions of the model, and as a result I worked with the raised number of tumor model.
I designed a fuzzy controllers for this model. The controllers use Mamdani implications and four state variables. I modified the controllers, decreasing the number of state variables (only using the tumor) and changing the input membership functions.
I made another fuzzy controller as well, however it uses Sugeno implications.
In the next step, we developed a direct type first order adaptive fuzzy controller. The models have been compared.
After that , the system is linearized at the set point.
Our results have been compared , and an off-line chemotherapy–treatment has been implemented.