TB Disease Diagnosis Using Fuzzy Max-Min Composition Technique

The paper attempts to model a classification problem to examine the Sanchez’s approach for medical diagnosis by the use of a technique called Fuzzy Max-Min composition. Fuzzy logic is one of the best choice to model the relationship between a set of symptoms of a patient and a possible diagnosis. The basic premises of fuzzy logic system are presented and a detailed analysis of fuzzy logic system developed to solve a disease diagnosis problem. The utility of the model is illustrated using tuberculosis patients data from a controlled clinical trial.