Chemotherapy is one of the most effective treatment methods for cancer patients. An intuitionistic fuzzy logic control (IFLC) of chemotherapy drug delivery system is presented in this paper. An Ant Colony Optimization (ACO) algorithm is utilized to optimize the intuitionistic fuzzy input-output scaling factors of the drug infusion system. The controller is designed and tested for tracking two clinically relevant chemotherapy dose scheduling protocols. Moreover, the patient safety is implied in the design of our controller by considering maximum allowed level constraints on both drug infusion dose and drug-dose toxicity. The obtained results from the optimized control system are compared with the previous studies. The application of the developed controller resulted in lowering the number of remaining cancer cells to 0.1856. with the highest performance index of 29.31.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.