RMCDA: The comprehensive R library for applying multi-criteria decision analysis methods
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866916611617718272 |
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| author | Najafi, Annice Mirzaei, Shokoufeh |
| author_facet | Najafi, Annice Mirzaei, Shokoufeh |
| contents | Multi-Criteria Decision Making (MCDM) is a branch of operations research used in a variety of domains from health care to engineering to facilitate decision-making among multiple options based on specific criteria. Several R packages have been developed for the application of traditional MCDM approaches. However, as the discipline has advanced, many new approaches have emerged, necessitating the development of innovative and comprehensive tools to enhance the accessibility of these methodologies. Here, we introduce RMCDA, a comprehensive and universal R package that offers access to a variety of established MCDM approaches (e.g., AHP, TOPSIS, PROMETHEE, and VIKOR), along with newer techniques such as Stratified MCDM (SMCDM) and the Stratified Best-Worst Method (SBWM). Our open source software intends to broaden the practical use of these methods through supplementary visualization tools and straightforward installation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_08677 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | RMCDA: The comprehensive R library for applying multi-criteria decision analysis methods Najafi, Annice Mirzaei, Shokoufeh Mathematical Software G.3 Multi-Criteria Decision Making (MCDM) is a branch of operations research used in a variety of domains from health care to engineering to facilitate decision-making among multiple options based on specific criteria. Several R packages have been developed for the application of traditional MCDM approaches. However, as the discipline has advanced, many new approaches have emerged, necessitating the development of innovative and comprehensive tools to enhance the accessibility of these methodologies. Here, we introduce RMCDA, a comprehensive and universal R package that offers access to a variety of established MCDM approaches (e.g., AHP, TOPSIS, PROMETHEE, and VIKOR), along with newer techniques such as Stratified MCDM (SMCDM) and the Stratified Best-Worst Method (SBWM). Our open source software intends to broaden the practical use of these methods through supplementary visualization tools and straightforward installation. |
| title | RMCDA: The comprehensive R library for applying multi-criteria decision analysis methods |
| topic | Mathematical Software G.3 |
| url | https://arxiv.org/abs/2502.08677 |