pyrepo-mcda — Reference objects based MCDA software package

Jarosław Wątróbski · Aleksandra Bączkiewicz · Wojciech Sałabun

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Multi-Criteria Decision Making Decision Support System Applications Optimization and Mathematical Programming

Abstract

Multi-Criteria Decision Analysis (MCDA) methods have gained popularity among practitioners and researchers in recent years. MCDA methods based on measuring the distance to reference objects are particularly noteworthy since their suitability for most decision problems, comparable and straightforward use, interpretation, and wide post-analytical possibilities. However, software implementations devoted to the MCDA domain show the lack of solutions dedicated to this family containing a sufficient number of methods, providing additional distance metrics and post-analytical tools such as sensitivity analysis. Therefore, this article presents a Python 3 based library that addresses this gap. The research demonstrating the functionalities of the proposed library includes a comparative analysis of the rankings provided by the different methods implemented in the library, a sensitivity analysis of the alternatives to criteria weights modifications, and a robustness analysis of the alternatives to changes in the performance values. The applicability of the proposed library is demonstrated in two real-life numerical examples. The first illustrative example involves the recommendation of renewable energy resources (RES) for development focusing on increasing the significance of RES. The other example involves the evaluation of material suppliers for a steel manufacturing company. Data for both examples were acquired from research papers. Based on the research results, it can be concluded that the proposed library is helpful in the process of supporting the solution of multi-criteria decision problems, and the implementation of a set of methods provides opportunities to search for the most reliable alternative.

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References

2014The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC)2006The MOORA method and its application to privatization in a transition economy 2018Comparative analysis of MCDM methods for ranking renewable energy sources in Taiwan 2018Generalised framework for multi-criteria method selection 2020How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy 2017A comprehensive MCDM-based approach using TOPSIS, COPRAS and DEA as an auxiliary tool for material selection problems 2021A consolidated MCDM framework for performance assessment of battery electric vehicles based on ranking strategies 2018An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges

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2023A Novel Axial-Distance-Based Aggregated Measurement (ADAM) Method for the Evaluation of Agri-Food Circular-Economy-Based Business Models

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