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Deconstructed and Inverted Multi-Criteria Evaluation for On-The-Fly Scenario Development and Decision-Making (Short Paper)

Authors Martin Geilhausen , Patrick Laube

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Subject Classification

ACM Subject Classification
  • Information systems → Geographic information systems
  • Information systems → Data analytics
  • Information systems → Expert systems
Keywords
  • Multi-criteria evaluation
  • efficiency
  • decision-making
  • data structures

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Abstract

We propose a variation of the conventional spatial multi-criteria evaluation workflow for suitability analysis that allows efficient on-the fly scenario development for decision-making. Our approach proposes to reconstruct the conventional MCE workflow in order to exclude computationally expensive geoprocessing from the iterative scenario development. We then introduce a procedure that replaces costly iterations of spatial operations with one off-line preprocessing step followed by iterations of much less computationally expensive database queries. We illustrate our approach for deconstructed and inverted multi-criteria analysis with a case study aiming at selecting suitable sites for wind turbines in the Swiss alps.

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Martin Geilhausen and Patrick Laube. Deconstructed and Inverted Multi-Criteria Evaluation for On-The-Fly Scenario Development and Decision-Making (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 27:1-27:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018) https://doi.org/10.4230/LIPIcs.GISCIENCE.2018.27

Author Details

Martin Geilhausen
  • Zurich University of Applied Sciences, Institute of Natural Resource Sciences, Campus Grüental, Wädenswil, Switzerland
Patrick Laube
  • Zurich University of Applied Sciences, Institute of Natural Resource Sciences, Campus Grüental, Wädenswil, Switzerland

References

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