Research Article
Full Integration of the multiple criteria decision making method KEMIRA-sort into a Geographical Information System for spatial management
@INPROCEEDINGS{10.4108/eai.24-11-2022.2329804, author={Charles Traor\^{e} and St\^{e}phane Aim\^{e} Metchebon Takougang}, title={Full Integration of the multiple criteria decision making method KEMIRA-sort into a Geographical Information System for spatial management}, proceedings={Proceedings of the 5th edition of the Computer Science Research Days, JRI 2022, 24-26 November 2022, Ouagadougou, Burkina Faso}, publisher={EAI}, proceedings_a={JRI}, year={2023}, month={5}, keywords={gis mcdm kemira-sort python qgis}, doi={10.4108/eai.24-11-2022.2329804} }- Charles Traoré
Stéphane Aimé Metchebon Takougang
Year: 2023
Full Integration of the multiple criteria decision making method KEMIRA-sort into a Geographical Information System for spatial management
JRI
EAI
DOI: 10.4108/eai.24-11-2022.2329804
Abstract
Geographic Information Systems (GIS) are tools dedicated to the processing and representation of spatial data and are therefore very useful, among others, for land use management. However, they are limited when it comes to taking into account and aggregating heterogeneous and conflicting information. Multiple criteria decision making (MCDM) methods are able to take into account the heterogeneous and conflicting nature of the data to facilitate their aggregation and to make them useful for decision making. In order to enhance the capacity of GIS for resource management in a given region, we propose a methodology for the full integration of the MCDM method KEMIRA Sort into an open source GIS and to show its effectiveness by applying it for the management of degraded landscapes (soil and vegetation) of a region in Burkina Faso.