Fuzzy reasoning based interactive diagnosis of a grid network of rain gauge sensors

This paper deals with the design of a diagnosis tool for a network of rain gauge sensors in the context of human-machine cooperation. The model of the whole system is difficult to be completely established before the diagnosis analysis. A part of the expert's knowledge is tacit and it'll be exploited during the diagnostic process e.g. expert analyzes the hyetograph of rainfall of a cluster of rain gauges to collect symptoms. Diagnosis becomes therefore an interactive process. At each step, the role of diagnosis tool is to accompany the expert to establish a diagnosis. The way of handling such a process is presented in this paper.