Modeling collaboration preparedness assessment

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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.
Original languageEnglish
Title of host publicationCollaborative Networks: Reference Modeling
EditorsL Camarinha-Matos, H Afsarmanesh
Place of PublicationNew York
PublisherSpringer US
Pages227-252
ISBN (Print)978-0-387-79425-9
DOIs
Publication statusPublished - 1 Jan 2008

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    Rosas, J. A. D., & Camarinha-matos, L. M. (2008). Modeling collaboration preparedness assessment. In L. Camarinha-Matos, & H. Afsarmanesh (Eds.), Collaborative Networks: Reference Modeling (pp. 227-252). Springer US. https://doi.org/10.1007/978-0-387-79426-6_17