Information incompleteness and imprecision are typical difficulties when assessing the collaboration preparedness of a candidate to join a collaborative network. Bayesian belief networks and Rough Sets are examples of modeling approaches that can be used in these cases. The use of these approaches depends on the type of collaborative network considered, namely long term or goal oriented, and on the available data necessary to perform the assessment. Combination of different modeling techniques is also useful in this context. In order to illustrate the suggested approach, a number of modeling experiments are described and achieved results are briefly discussed.
|Title of host publication||Collaborative Networks: Reference Modeling|
|Editors||L Camarinha-Matos, H Afsarmanesh|
|Place of Publication||New York|
|Publication status||Published - 1 Jan 2008|