knowCube: a visual and interactive support for multicriteria decision making

Authors:
Hans L. Trinkaus;Thomas Hanne
Affiliations:
Department of Optimization, Fraunhofer Institute for Industrial Mathematics (ITWM), Gottlieb-Daimler-Street 49, 67663 Kaiserslautern, Germany;Department of Optimization, Fraunhofer Institute for Industrial Mathematics (ITWM), Gottlieb-Daimler-Street 49, 67663 Kaiserslautern, Germany
Venue:
Computers and Operations Research
Year:
2005

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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.