Tuberculosis (TB) is a communicable disease that is caused by organisms known as Mycobacterium Tuberculosis. TB, typically affects the lungs. People with lung TB cough, sneeze or spit, which causes TB to spread via the air. Just a few bacteria must be inhaled for someone to become ill. Ten million people contract tuberculosis each year. Despite being a preventable and treatable condition, TB kills 1.5 million people annually, making it the leading infectious killer in the world. The key to reducing infection transmission and ultimately eliminating TB is early detection of the disease and successful treatment. In this context, this study proposes a technique called Fuzzy Normalized Value- based Ranking Method(F-NoVaRM) to provide a decision support platform for physicians in the effective diagnosis of TB.