Download Efficient Decision Support Systems - Practice and Challenges by Edited by: Chiang Jao PDF

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By Edited by: Chiang Jao

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Processing similarity - results Matching the two graphs, according to these couples of nodes, should also keep the structure of the graphs. Arcs between nodes should not be deleted or modified. For instance, given that ([Program], [Entity: P1]) and ([Content], [Content]) are two couples of nodes that are compatible, the edge between [Program] and [Content] must have an equivalent between [Entity: P1] and [Content], which is the case in our example. To do so, we use projection search between the two graphs.

The output for this operation is the assignment of the choice x with notselect predicate. This assignment permits the proposed method to perform delete-cascade operation to verify the selections. 3 Explanation and corrective recommendation This operation is defined (in this paper) for highlighting the sources of errors within decision- making process. The errors happened due to dissatisfaction of constraint dependency rules. The general pattern that represents failure due to dissatisfaction of constraint dependency rules is: Decision A excludes Decision B and Decision A is selected then Decision B fails to select.

2, C. Hartshone & P. ), Cambridge, MA. Petersen, M. (2004). Information: Hard and soft. , Sidner, C. -Y. (2008). Generation of a fundamental data set for hard/soft information fusion, In Proceedings of the 11th International Conference on Information Fusion, Cologne, Germany, pp. 1621–1628. , Llinas, J. and Little, E. (2008). Graphical methods for real-time fusion and estimation with soft message data, In Proceedings of the 11th International Conference on Information Fusion, Cologne, Germany, pp.

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