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TB Disease Diagnosis Using Fuzzy Max-Min Composition Technique

M. Muthuvijayalakshmi, E. Kumar, P. Venkatesan

Abstract


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.

Keywords


Classification, Max-Min Composition, Medical Diagnosis, Tuberculosis

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References


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