Classification of Medical Datasets using a Modified Adaptive Fuzzy Inference System

Recently, several approaches have been studied to address the classification problems that have faced researchers over the past years. In this paper, the Adaptive Neural Fuzzy Inference System (ANFIS) is modified to classify the data using the particle swarming optimization (PSO) algorithm, the optimization process passes through two basic stages, the first stage uses the (PSO) algorithm to adjust the parameters of the fuzzy inference system model. In the second stage, a fuzzy inference system model is made according to ideal standards obtained from the (PSO) algorithm. We obtained better results through the proposed PSO-AFIS algorithm to achieve effective results compared to the standard adaptive algorithm. (ANFIS)

Keywords:Adaptive Neuro Fuzzy Inference System (ANFIS); Particle Swarm Optimization (PSO) algorithm; Classification