Pariya Khalili - School of Mechanical EngineeringShiraz UniversityShiraz, Iran
Golsa Fadaei - School of Mechanical EngineeringShiraz UniversityShiraz, Iran
Ramin Vatankhah - School of Mechanical EngineeringShiraz UniversityShiraz, Iran

Studying the different types of cancer behavioragainst various therapies leads to various mathematicalmodels. Recently, the role of regulatory T-cells in the tumormicroenvironment has been indicated to have significantresults in general cancer behavior. In this paper, one of themost recent mathematical models simulating cancer behaviorin chemoimmunotherapy treatment considering tumor cells,natural killer cells, CD+ T-cells, circulating lymphocytes, IL-۲concentration, regulatory T-cells, and chemotherapyconcentration has been chosen for obtaining intelligent drugdelivery utilizing Fuzzy control approach. This specific type ofcontroller provides a novel strategy for controlling suchsystems by gaining knowledge of the concepts of drug injection.The results of available experimental tests lead to definingfuzzy rules to perform fuzzy controller, which is considered asone of the advantages of this controller. The final controllerdesign is inspired utilizing previous experimental tests. Themain goal of this paper is to apply a fuzzy control on one of themost recent models of cancer to derive the drug injection ratesin chemoimmunotherapy with the aim of reducing cancer cells.

Cancer, Chemoimmunotherapy, Regulatory Tcells,Fuzzy Control, Fuzzy Rule Base.