Abstract
Some organizations are commissioned to hoost every kind of innovation in favoring collaboration between small businesses and scientific circles. Our research aims at developing a decision-aid tool to help intermediate organizations in their search for innovative enterprises and at determining if these enterprises are receptive to collaboration with a university. Tins helping tool consists of a set of decision rules thanks to which the enterprises are selected. This set of rules was established with the rough set method. The problem we have to face comes under the problematic P.α and the originality of the paper is that we will show the impact of the choice of decision rules on the type I error and thus on the percentage of objects incorrectly classified.
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References
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Levecq, P., Meskens, N. (2001). How Can Help an Inductive Approach in the Resolution of a Problematic α Problem?. In: Ziarko, W., Yao, Y. (eds) Rough Sets and Current Trends in Computing. RSCTC 2000. Lecture Notes in Computer Science(), vol 2005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45554-X_82
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DOI: https://doi.org/10.1007/3-540-45554-X_82
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