• Amita, Joykaran
• Manpreet Kaur

Cancer can start any place in the body. It starts when cells grow out of control and crowd out normal cells. There are many types of cancer. It’s not just one disease. Cancer can start in the lungs, the breast, the colon (large intestine), or even in the blood. The cells in our bodies all have certain jobs to do. Normal cells divide in an orderly way. They die when they are worn out or damaged, and new cells take their place. Cancer is when the cells start to grow out of control. The cancer cells keep on growing and making new cells. They crowd out normal cells. This causes problems in the part of the body where the cancer started. In this paper we focus on reviewing the artificial intelligent techniques for early detection of lung cancer detection. The CT scan images are the foremost widespread technique used for identification of cancer. The determination of abnormalities may be a terribly tough task. Computerized assisted identification systems are terribly useful for specialist in detection and identification abnormalities earlier and quicker than ancient screening programs. This method has been terribly effective for the automated diagnose and classification of probabilities of cancer. The projected fuzzy knowledgeable system attains best classification rates for symptoms (subjective) parameters and risk parameters. When check the strength of system the accuracy for subjective parameters is 87% and for risk parameters are 91% and with fuzzy system is 96%.

Cancer, Lung Cancer, Fuzzy Logic, Early Detection, Diagnosis, CT Scan

"FUZZY METHOD FOR EARLY DETECTION OF LUNG CANCER ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.381-388, May 2019, Available :http://www.jetir.org/papers/JETIRCW06075.pdf

"FUZZY METHOD FOR EARLY DETECTION OF LUNG CANCER ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp381-388, May 2019, Available at : http://www.jetir.org/papers/JETIRCW06075.pdf