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In this paper, we present an approach for high stake decision making based on the processing of uncontrolled knowledge originated from e-communities. Knowledge bases fed by such communities can provide a very rich source for a diagnosis or decision-support systems. However, they inherently bear inherent problems due in particular to knowledge heterogeneity, vagueness, completeness, uncertainty, and...
The main purpose of this paper is to present a new approach for High-Stake Decision Support Systems. We introduce the challenge of the exploitation of heterogeneous community-based knowledge for decision-aid in critical situations. Knowledge shared in e-communities can be very rich, but is also inherently chaotic and questionable. Such uncontrolled knowledge is not usually considered in High-Stake...
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