Abstract
This paper addresses the issue of how one can model, represent and use context in a DSS. The modeling approach builds upon a decision making framework and concepts from sociology in developing five classes of decision support objects: interpretative scheme, facility (resources), norm (preferences), argumentation process, and task context (set of options). Specific instances of these five classes are iteratively adjusted in providing support to the decision makers. Additional support is provided by the use of formal procedures adapted from automated reasoning research. The result is a context sensitive DSS that supports decision makers in the communication of an argument for a particular course of action.
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Widmeyer, G.R. (1998). Context modeling for decision support. In: Berkeley, D., Widmeyer, G.R., Brezillon, P., Rajkovic, V. (eds) Context Sensitive Decision Support Systems. IFIP Advances in Information and Communication Technology. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35356-2_13
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DOI: https://doi.org/10.1007/978-0-387-35356-2_13
Publisher Name: Springer, Boston, MA
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