Integration of the Multiple Criteria Decision Making Method KEMIRA into a GIS for the Problem of Choosing Suitable Areas for a Given Use-Reference-Cited by-同舟云学术

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

Published:2023 Issue: Volume: Page:513-520
ISSN:2731-040X
Container-title:Lecture Notes in Operations Research
language:
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Author:

Ouedraogo Abdoulaye,Metchebon Takougang Stéphane Aimé

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-24907-5_61

Reference10 articles.

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).

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