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Integration of the Multiple Criteria Decision Making Method KEMIRA into a GIS for the Problem of Choosing Suitable Areas for a Given Use

In: Operations Research Proceedings 2022

Author

Listed:
  • Abdoulaye Ouedraogo

    (Universite Joseph Ki-Zerbo)

  • Stéphane Aimé Metchebon Takougang

    (Universite Joseph Ki-Zerbo
    Université Aube Nouvelle)

Abstract

Land use management problems generally requires the use of geographic information systems (GIS). To do this, it is first necessary to take into account several often conflicting criteria. However, given the limited capabilities of GIS, the representation of a decision map resulting from the overlaying of more than four conflicting criteria maps is problematic. To overcome this difficulty and enhance the analytical capabilities of GIS, the literature presents a variety of works on the joint use of GIS and multiple criteria decision making (MCDM) methods. In these works, the limitations that emerge are firstly the difficulty of fully integrating a MCDM method into the GIS, secondly the large number of parameters of the MCDM method to be integrated into the GIS, thirdly the aggregation of heterogeneous criteria. In this work we propose an answer to these three concerns through the integration of the KEMIRA method in the GIS open source QGIS and illustrate our approach on a real case study in Burkina Faso.

Suggested Citation

  • Abdoulaye Ouedraogo & Stéphane Aimé Metchebon Takougang, 2023. "Integration of the Multiple Criteria Decision Making Method KEMIRA into a GIS for the Problem of Choosing Suitable Areas for a Given Use," Lecture Notes in Operations Research, in: Oliver Grothe & Stefan Nickel & Steffen Rebennack & Oliver Stein (ed.), Operations Research Proceedings 2022, chapter 0, pages 513-520, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-24907-5_61
    DOI: 10.1007/978-3-031-24907-5_61
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