Supporting decision making in situational crime prevention using fuzzy association rule
Noor Maizura Mohamad Noor, Wan Mohd Farhan Wan Nawawi, Ahmad Faiz Ghazali · 2013
Crime happens everywhere including in our house and is always related with human life. It will make a country lose valuable assets and properties. Most crimes will take place only if there is an opportunity to do crime. To curb this problem, the IT field tries to develop a smart technology that can work in predicting of crime in the future. This new tool uses decision support system (DSS) and fuzzy association rule mining (FARM), in which it can extract the factors of situational (opportunity) crime precisely based on previous data obtained.