Intelligent personal monitoring system for fire rescue operation: A case study

Malaysia is in aggressive mission to develop the country by year 2020. To achieve developed country status, there are lots of works to be completed immediately by workers everywhere in the country in order to save cost and energy. Stress during works, becomes a major issue lately. Unsafe action may cause accidents, worst may cause death. Accidents which usually happen during work are fire. Safety during fire rescue is now become crucial. It is a big loss if our professionals such as fire fighters hurt and dead during their rescue operation. These experts need to be monitored during their hazardous operation to ensure their safety, thus victims can be saved successfully. In this paper, we propose an intelligent personal monitoring system to simulate the real input data using fuzzy logic. The system was design using an agent-based design tool called a Prometheus Design Tool (PDT). Type-2 fuzzy was then used to define uncertain input and produced a reliable output. It is crucial to generate a crisp output when dealing with human's life.