Generic algorithm for multicriteria ranking of crop technological options based on the “Technique for Order of Preference by Similarity to Ideal Solution” using ShinyApps
Many agricultural research and development programs aiming at enhancing tradeoffs related to different adoption, management and policy decisions face a methodological problem in which multi-criteria ranking is used to reach acceptable compromises between different objectives (e.g. those of farms, re...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/171415 |
| _version_ | 1855513057154826240 |
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| author | Frija, Aymen Ouerghemmi, Hassen Ismail, Firas Gbegbelegbe, Sika Swamikannu, Nedumaran |
| author_browse | Frija, Aymen Gbegbelegbe, Sika Ismail, Firas Ouerghemmi, Hassen Swamikannu, Nedumaran |
| author_facet | Frija, Aymen Ouerghemmi, Hassen Ismail, Firas Gbegbelegbe, Sika Swamikannu, Nedumaran |
| author_sort | Frija, Aymen |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Many agricultural research and development programs aiming at enhancing tradeoffs related to different adoption, management and policy decisions face a methodological problem in which multi-criteria ranking is used to reach acceptable compromises between different objectives (e.g. those of farms, research managers, donors or policy makers). A typical situation is where many farm management options will result in different conflicting economic, social and environmental impacts. Ranking these options and the choice of those to promote is challenging. The literature provides a set of methodological solutions that need background data organization and simulation through coding using different computing software. Here, we provide a generic solution and friendly interface, made on Shiny (an R-package) based on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). We apply this method for ranking different crop technological products of grain legumes and dry cereals based on their respective impacts on poverty, child malnutrition and economic benefits in more than 40 countries in eight different geographic zones across South Asia and Sub-Saharan Africa. The developed algorithms and interface can help rank different options based on the weights (preferences) of their respective outcome indicators. The interface allows for changing the weights (preferences) and automatically generates new ranking tables and graphs accordingly, which can serve for scenario simulations, which saves time compared to manually performing these calculations. |
| format | Journal Article |
| id | CGSpace171415 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1714152025-02-02T07:20:21Z Generic algorithm for multicriteria ranking of crop technological options based on the “Technique for Order of Preference by Similarity to Ideal Solution” using ShinyApps Frija, Aymen Ouerghemmi, Hassen Ismail, Firas Gbegbelegbe, Sika Swamikannu, Nedumaran models assessment grain legumes cereal crops technology Many agricultural research and development programs aiming at enhancing tradeoffs related to different adoption, management and policy decisions face a methodological problem in which multi-criteria ranking is used to reach acceptable compromises between different objectives (e.g. those of farms, research managers, donors or policy makers). A typical situation is where many farm management options will result in different conflicting economic, social and environmental impacts. Ranking these options and the choice of those to promote is challenging. The literature provides a set of methodological solutions that need background data organization and simulation through coding using different computing software. Here, we provide a generic solution and friendly interface, made on Shiny (an R-package) based on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). We apply this method for ranking different crop technological products of grain legumes and dry cereals based on their respective impacts on poverty, child malnutrition and economic benefits in more than 40 countries in eight different geographic zones across South Asia and Sub-Saharan Africa. The developed algorithms and interface can help rank different options based on the weights (preferences) of their respective outcome indicators. The interface allows for changing the weights (preferences) and automatically generates new ranking tables and graphs accordingly, which can serve for scenario simulations, which saves time compared to manually performing these calculations. 2021 2025-01-29T12:58:08Z 2025-01-29T12:58:08Z Journal Article https://hdl.handle.net/10568/171415 en Open Access Elsevier Frija, Aymen; Ouerghemmi, Hassen; Ismail, Firas; Gbegbelegbe, Sika; and Swamikannu, Nedumaran. 2021. Generic algorithm for multicriteria ranking of crop technological options based on the “Technique for Order of Preference by Similarity to Ideal Solution” using ShinyApps. MethodsX 8(September 2021): 101519. https://doi.org/10.1016/j.mex.2021.101519 |
| spellingShingle | models assessment grain legumes cereal crops technology Frija, Aymen Ouerghemmi, Hassen Ismail, Firas Gbegbelegbe, Sika Swamikannu, Nedumaran Generic algorithm for multicriteria ranking of crop technological options based on the “Technique for Order of Preference by Similarity to Ideal Solution” using ShinyApps |
| title | Generic algorithm for multicriteria ranking of crop technological options based on the “Technique for Order of Preference by Similarity to Ideal Solution” using ShinyApps |
| title_full | Generic algorithm for multicriteria ranking of crop technological options based on the “Technique for Order of Preference by Similarity to Ideal Solution” using ShinyApps |
| title_fullStr | Generic algorithm for multicriteria ranking of crop technological options based on the “Technique for Order of Preference by Similarity to Ideal Solution” using ShinyApps |
| title_full_unstemmed | Generic algorithm for multicriteria ranking of crop technological options based on the “Technique for Order of Preference by Similarity to Ideal Solution” using ShinyApps |
| title_short | Generic algorithm for multicriteria ranking of crop technological options based on the “Technique for Order of Preference by Similarity to Ideal Solution” using ShinyApps |
| title_sort | generic algorithm for multicriteria ranking of crop technological options based on the technique for order of preference by similarity to ideal solution using shinyapps |
| topic | models assessment grain legumes cereal crops technology |
| url | https://hdl.handle.net/10568/171415 |
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