[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content

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

  • Conference paper
  • First Online:
Operations Research Proceedings 2022 (OR 2022)

Part of the book series: Lecture Notes in Operations Research ((LNOR))

Included in the following conference series:

  • 716 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 159.99
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 199.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
GBP 199.99
Price includes VAT (United Kingdom)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Devaud, J., Groussaud, G., & Jacquet-Lagrèze, E. (1980). UTADIS: une methode de construction de fonctions d’utilite additives rendant compte de jugements globaux (European working group on MCDA).

    Google Scholar 

  2. Siskos, Y., Grigoroudis, E., & Matsatsinis, N. F. (2016). UTA methods. In S. Greco, M. Ehrgott, & J. Figueira (Eds.), Multiple criteria decision analysis. International Series in Operations Research and Management Science (Vol. 233, pp. 315–362). Springer. https://doi.org/10.1007/978-1-4939-3094-4_9

  3. Metchebon Takougang, S. A., Pirlot, M., Some, B., & Yonkeu, S. (2015). Assessing the response to land degradation risk: The case of the Loulouka Catchment Basin in Burkina Faso. In R. Bisdorff, L. Dias, P. Meyer, V. Mousseau, & M. Pirlot (Eds.), Evaluation and decision models with multicriteria. Case studies. International Handbooks on Information Systems (pp. 341–400). Springer-Verlag. https://doi.org/10.1007/978-3-662-46816-6_12

  4. Krylovas, A., Zavadskas, E. K., Kosareva, N., & Dadelo, S. (2014). New KEMIRA method for determining criteria priority and weights in solving MCDM problem. International Journal of Information Technology and Decision Making, 13(6), 1119–1134. https://doi.org/10.1142/S0219622014500825

  5. Krylovas, A., Dadelo, S., Kosareva, N., & Zavadskas, E. K. (2017). Entropy-KEMIRA approach for MCDM problem solution in human resources selection task. International Journal of Information Technology and Decision Making, 16(5), 1183–1210. https://doi.org/10.1142/S0219622017500274

  6. Kuter, S., Weber, G. W., & Akyürek, Z. (2016). A progressive approach for processing satellite data by operational research. Operational Research, 17(2), 371–393. https://doi.org/10.1007/s12351-016-0229-x

  7. Joerin, F., Desthieux, G., Beuze, S. B., & Nembrini, A. (2009). Participatory diagnosis in urban planning: Proposal for a learning process based on geographical information. Journal of Environmental Management, 90(6), 2002–2011. https://doi.org/10.1016/j.jenvman.2007.08.024

  8. Sobrie, O., Pirlot, M., & Joerin, F. (2013). Integration de la méthode d’aide á la décision ELECTRE TRI dans un système d’information géographique open source. Revue Internationale de Géomatique, 23(1), 13–38. https://doi.org/10.1016/S0377-2217(03)00120-6

  9. Malczewski, J., & Rinner, C. (2015). Multicriteria decision analysis in geographic information sciences. Springer Berlin Heidelberg.

    Google Scholar 

  10. Quantum GIS Development Team. Quantum GIS geographic information system. http://qgis.osgeo.org

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Stéphane Aimé Metchebon Takougang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ouedraogo, A., Metchebon Takougang, S.A. (2023). Integration of the Multiple Criteria Decision Making Method KEMIRA into a GIS for the Problem of Choosing Suitable Areas for a Given Use. In: Grothe, O., Nickel, S., Rebennack, S., Stein, O. (eds) Operations Research Proceedings 2022. OR 2022. Lecture Notes in Operations Research. Springer, Cham. https://doi.org/10.1007/978-3-031-24907-5_61

Download citation

Publish with us

Policies and ethics