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About this paper
Annice Najafi, Shokoufeh Mirzaei
The RMCDA package provides a comprehensive R library for Multi-Criteria Decision Analysis, consolidating over 50 methods, including established techniques and novel probabilistic approaches like SMCDM and SBWM. Developed by Annice Najafi and Shokoufeh Mirzaei from California Polytechnic Institute of Technology, Pomona, the package addresses the fragmentation of MCDA tools in R, offering extensive visualizations and a user-friendly web application for diverse decision-making applications.
Key insights
- The R programming ecosystem lacked a comprehensive and unified package for Multi-Criteria Decision Analysis (MCDA) methods, leading to fragmentation and limiting accessibility for practitioners.
- Integrating advanced probabilistic MCDA methods like Stratified Multi-Criteria Decision Making (SMCDM) and Stratified Best-Worst Method (SBWM) into a consolidated package is crucial for handling complex, uncertain decision scenarios.
- User-friendly interfaces, extensive visualization tools, and a web application (ShinyRMCDA) significantly enhance the accessibility and interpretability of MCDA methods for both programmers and non-programmers.
Summary by alphaXiv.
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