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Combining Computational Models and Interactive Visualization to Support Rational Decision Making

  • Tobias Ruppert
  • Jürgen Bernard
  • Thorsten May
  • Jörn Kohlhammer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8887)

Abstract

Decision making is a complex process consisting of several consecutive steps. Before converting a decision into effective action the problem to be tackled needs to be analyzed, alternative solutions need to be developed, and the best solution needs to be picked. In many cases computational models support decision makers in this process. Therefore, providing an intuitive access to these model-driven techniques is crucial. In this approach, we introduce a decision support system that provides visual-interactive access to three computational models - a simulation model, an optimization model, and an opinion mining model - covering different aspects of decision making. For each model our decision support system realizes the visual access to the model, an in-depth analysis of the generated solutions, and the comparison of alternative solutions. Finally, we evaluate the usefulness and the usability of our system in a use case in the field of public policy making.

Keywords

Decision Maker Decision Support System Opinion Mining Information Visualization Energy Plan 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Tobias Ruppert
    • 1
  • Jürgen Bernard
    • 1
  • Thorsten May
    • 1
  • Jörn Kohlhammer
    • 1
  1. 1.Department of Information Visualization and Visual AnalyticsFraunhofer Institute for Computer Graphics ResearchDarmstadtGermany

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