FESOLE-fuzzy expert system for determining the optimal level of enforcement

Electronic payment for using road infrastructure is an area that is gaining importance in the realm of intelligent transportation systems (ITS). While preparing such an electronic fee collection system, the level of enforcement needed must be determined. This is not a trivial task, because it is affected by many technical and monetary factors. At the same time, it cannot be expected that all decision makers are deeply involved in this field and are able to make an optimal decision depending on the recommendations of external experts. In order to decrease the possibility of manipulating this decision process by lobbyists and to save the money used for external consultants, a decision support system is needed. This paper describes a fuzzy expert system for determining the optimal level of enforcement -FESOLE. It bridges a missing part in the research concerning ITS. The author focuses mainly on the major technical features of this model. A fuzzy expert system is used to approach this problem. It can extract and exploit the knowledge of human experts and convert it to a robust computational model. Suitability of this methodology for a given task is also demonstrated.