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Classification of the liver disorders data using Multi-Layer adaptive Neuro-Fuzzy inference system

The meaning of classification is assigning data into subsets and clusters which are separated and independent. The data of any subsets have the most similarity to each other and the most difference from the other subsets. In this paper, the classification of the liver disorders data is done with using adaptive Neuro-Fuzzy inference system. In this study, the liver disorders data includes medical and physical information of 345 patients is used to show the Multi-Layer ANFIS performance in data classification and clustering. The dataset is selected from the UCI datasets which is a rich source of heart disease, primary tumor, hepatitis and liver disorders datasets.