knowCube: a visual and interactive support for multicriteria decision making

knowCube: a visual and interactive support for multicriteria decision making

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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: ,
Keywords: decision theory: multiple criteria
Abstract:

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.

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