Abstract
Decision support shows often a gap between the problems in terms of business knowledge and the answers restricted to a final decision result. We present a decisional framework for automating business procedures, developed through with the administration, that allows managing and formalizing extra information besides the mere decisional knowledge. This information can be useful to tune the knowledge model according to operational data, or to better exploit the decision result in the subsequent stages of a collaborative workflow.
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Tamisier, T., Parisot, O., Didry, Y., Wax, J., Feltz, F. (2011). Adapting Decision Support to Business Requirements through Data Interpretation. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2011. Lecture Notes in Computer Science, vol 6874. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23734-8_13
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DOI: https://doi.org/10.1007/978-3-642-23734-8_13
Publisher Name: Springer, Berlin, Heidelberg
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