Article ID: | iaor2006664 |
Country: | United Kingdom |
Volume: | 32 |
Issue: | 5 |
Start Page Number: | 1289 |
End Page Number: | 1309 |
Publication Date: | May 2005 |
Journal: | Computers and Operations Research |
Authors: | Hanne Thomas, Trinkaus Hans L. |
Keywords: | decision theory: multiple criteria |
In this paper, we present a novel multicriteria decision support system (MCDSS), called knowCube, consisting of components for knowledge organization, generation, and navigation. Knowledge organization rests upon a database for managing qualitative and quantitative criteria, together with add-on information. Knowledge generation serves filling the database via, e.g. identification, optimization, classification or simulation. For “finding needles in haycocks”, the knowledge navigation component supports graphical database retrieval and interactive, goal-oriented problem solving. Navigation “helpers” are, for instance, cascading criteria aggregations, modifiable metrics, ergonomic interfaces, and customizable visualizations. Examples from real-life projects, e.g. in industrial engineering and in the life sciences, illustrate the application of our MCDSS.