A comprehensive decision approach for rubber tree planting management in Africa
The main objective of this study is to settle a rigorous field of decision analysis for rubber tree clones selection. Nowadays, there does not exist any process based upon a rigorous method to select the best clone to be plant in order to get the highest return on investment. The only known selection method is to use the experience of different protagonists acting in the plantation. So, we need a tool that takes into account very important criteria in order to achieve the main objective. This goal is achieved by using multicriterion analysis methods to the clone selection. The ranking procedure uses Elimination and Choice Expressing the Reality (ELECTRE III). For each criterion, indifference and preference thresholds are determined after establishing the relative importance of each criterion including rubber tapping, cumulative production during 15 years, cumulative production between 15 and 25 years, wind resistance, disease resistance, physiological resistance, grafting and quality of the rubber.
|Date of creation:||01 Jul 2011|
|Date of revision:|
|Publication status:||Published in Journal of Multi-Criteria Decision Analysis, Wiley, 2011, 18 (3-4), pp.187-201|
|Note:||View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00650533|
|Contact details of provider:|| Web page: https://hal.archives-ouvertes.fr/|
References listed on IDEAS
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- Moussa Diaby & Fabrice Valognes & André Clément-Demange, 2010. "Utilisation d'une méthode multicritère d'aide à la décision pour le choix des clones d'hévéa à planter en Afrique," Post-Print halshs-00565246, HAL.
- Roy, B. & Present, M. & Silhol, D., 1986. "A programming method for determining which Paris metro stations should be renovated," European Journal of Operational Research, Elsevier, vol. 24(2), pages 318-334, February.
- Martin, C. & Ruperd, Y. & Legret, M., 2007. "Urban stormwater drainage management: The development of a multicriteria decision aid approach for best management practices," European Journal of Operational Research, Elsevier, vol. 181(1), pages 338-349, August.
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