Evaluating lung cancer treatment techniques using fuzzy promethee approach

Abstract

Lung cancer also known as lung carcinoma is a disease caused by an uncontrolled growth of cells in the lung(s). This uncontrolled growth is influenced by a mutation of the DNA that causes growth of the cells in the lungs, and the mutation is caused by various factors which include inhalation of radon gas whose products ionize genetic material, asbestos, genetic makeup of an individual and also tobacco smoke products. Early diagnosis and therapy is very important in order to increase the chances of survival from the disease. The aim of this study is to analyse the most common therapeutic techniques of lung cancer such as surgery, chemotherapy, radiation therapy, immunotherapy, and hormone therapy as they affect the patient and the hospital. In this project, Fuzzy PROMETHEE (preference ranking organization method for enrichment of evaluations) a decision making process that uses a multi-criteria method was used to analyse the therapeutic techniques based on factors such as radiation dose, cost of treatment, treatment time, chances of survival, side effects and cost of the method for the hospital. Evaluation results showed that the surgery among other techniques showed a great performance on lung cancer treatment based on the criteria, importance, and weights we have selected. Fuzzy PROMETHEE also shows that one can easily modify the method by adding more criteria and change their importance and weights depending on the specific application.