https://www.i-scholar.in/index.php/CiiTFS/issue/feed Fuzzy Systems 2021-02-07T15:34:33+00:00 Dr. V. Sivaraj editor@ciitresearch.org Open Journal Systems <p>The Aim of Journal Fuzzy System gives research works in the theory and applications of fuzzy. It expanded so as to account for all facets of the field while emphasizing its specificity as bridging the gap between the flexibility of human representations and the precision and clarity of mathematical or computerized representations, be they numerical or symbolic.</p><p>The scope of the journal includes developing technologies in Mathematics, Technology Management, Artificial Intelligence, Control, Robotics, Decision Making, Finance and Management, Information Systems, Operations Research, Pattern Recognition, Soft Computing, Uncertainty Modeling.</p> https://www.i-scholar.in/index.php/CiiTFS/article/view/207372 A Novel System for Apple Fruit Diseases using Color Fusion Techniques 2021-02-07T15:30:41+00:00 David Blandford editor@ciitresearch.org Jadwiga Rogowska editor@ciitresearch.org Azriel Rosenfeld editor@ciitresearch.org <p class="Abstract">Apple fruit is the most common fruit tree in the home garden with a suitable environment. The fruits, which are produced in sound quality, can be exported to support the economic growth of the country. However; unfortunately, a disease that affects the fruit reduces the crop yield. To illustrate scab disease is a fungus, which mostly affects the trees that are situated in humid areas. Leaves become hard, twisted, and appears with black round spots on the outer surface. Finally, the infected fruit will have a crack, which leads to the entry of another infectious organism to entire into it.</p> 2020-12-01T00:00:00+00:00 https://www.i-scholar.in/index.php/CiiTFS/article/view/207373 A Smart Technology for Drunk and Drive Alert to Prevent Accidents using Fuzzy Techniques 2021-02-07T15:34:33+00:00 L. E. Steven editor@ciitresearch.org O. Ronneberger editor@ciitresearch.org One of the greatest threats to your safety is not in the workplace, but rather on the road. Someone is injured every 18 seconds. Over 2 million of those injuries turn out to be disabling. A person dies in a crash on roads every 11 minutes. Motor vehicles and car accidents are the most common cause of the death in the countries more than cancer or heart attacks. We have also used car accident prevention technology with ultrasonic sensor which also sends messages via GSM to relatives of the driver while accident happens of vehicle. 2020-12-01T00:00:00+00:00 https://www.i-scholar.in/index.php/CiiTFS/article/view/207375 Cancer Disease Prediction using Mammogram Images using Intelligence Technology 2021-02-07T15:33:12+00:00 Theingi Zin editor@ciitresearch.org U Soe Nay Lin Aung editor@ciitresearch.org <p class="Abstract">Breast cancer is a malignant (cancer) tumor starting with breast cells. A screening mammogram aims to find breast cancer when it’s too small to be felt by a woman or her doctor. Cost effectiveness is one of the major requirements for a mass screening program to be successful. The ultimate diagnosis of all types of breast disease depends on a biopsy. In most cases the decision for a biopsy is based on mammography findings. Biopsy results indicate that 65-90% of suspected cancer detected by mammography turned out to be benign. Hence, it would be valuable to expand a computer aided technique for mass classification based on extracted features from the Region Of Interests (ROI) in mammograms. This can reduce the number of unnecessary biopsies in patients with benign disease and thus avoid patients physical and mental suffering, with an added bonus of reducing healthcare costs. The study reveals that proposed work is better than the traditional models and discussed with limitations.</p> 2020-12-01T00:00:00+00:00 https://www.i-scholar.in/index.php/CiiTFS/article/view/207376 Cheating and Fraud Detection using Fuzzy Principles and Artificial Intelligence Techniques 2021-02-07T15:33:46+00:00 Majid Dh. Younis editor@ciitresearch.org Saad M. Darwish editor@ciitresearch.org Credit card fraud is a wide-ranging term for theft and fraud committed using a credit card as a fraudulent source of funds in a given transaction. Usually, the fraudulent transactions are conducted by stealing the credit card. When the loss of the card is not noticed by the cardholder, a huge loss can be faced by the credit card company. A very little amount of information is required by the attacker for conducting any fraudulent transaction in online transactions. For buying products and services online, the Internet or telephone devices are used. In this paper, proposed a fraud detection method which utilizes the behavioral patterns of the cardholders analyzing the historical transactions of the cardholder and the feature selection is done by the Fuzzy Particle Swarm Optimization method, enhancing the credit card fraud. After extracting the best and effective features the ensemble classification is applied. 2020-12-01T00:00:00+00:00