| |
|
FORFAIT sets out to develop and demonstrate a Decision Support System (DSS) to assist planners, regulators and industry in optimising the management of forest fire risks, on a holistic, integrated and traceable basis. It will aid in implementing measures that eliminate or mitigate harm to humans, the environment and business, using a cost benefit approach where appropriate and depending on local regulatory requirements.
|  |
| |
|
FORFAIT will uniquely combine generic and time varying site-specific information (via electronic links from field and satellite data sources), state-of-the-art predictive models, and expert knowledge. Recognising that in general there are many different decisions that could be made in any given situation the system will use fuzzy logic to suggest the most appropriate course of action and a probabilistic framework to take account of uncertainty in the parameters.
|
|
|
The REMS Project will develop counter-measures to internal theft and fraud for retailers. It will cover all forms of retailing transactions, including EPOS and e-commerce. Its ultimate objective is to develop a solution where state-of-the-art software and other techniques can transform large amounts of computer and other data into clear management information.
|  |
|
|
The FRISC Project will develop state-of-the art counter-measures to combat fraudulent insurance claims which cost £650 million each year. Lancaster University's Dept's of Psychology and Computing will identify and document skills, expertise, data and problem-solving deployed by AXA in its' proven fraud detection role. Liaison with the insurance industry will enable the software developers at LPA and IBiS to implement the findings using leading edge technology in practical user-driven applications.
|  |