RMCDA: The comprehensive R library for applying multi-criteria decision analysis methods

TL;DR

RMCDA is a comprehensive R package that integrates traditional and new multi-criteria decision-making methods, enhancing accessibility and visualization tools for diverse applications.

Contribution

It introduces a unified R package that covers both established and emerging MCDM approaches, filling a gap in accessible, comprehensive decision analysis tools.

Findings

Includes multiple MCDM methods like AHP, TOPSIS, PROMETHEE, VIKOR

Adds new techniques such as Stratified MCDM and SBWM

Provides visualization tools and easy installation

Abstract

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.