Article
Version 1
This version is not peer-reviewed
Comparative Review of Multi-Criteria Decision-Making Methods
Version 1
: Received: 19 August 2024 / Approved: 20 August 2024 / Online: 20 August 2024 (13:40:26 CEST)
How to cite: Muhammed, A.; Błaszczyk, Ph.D., P. Comparative Review of Multi-Criteria Decision-Making Methods. Preprints 2024, 2024081446. https://doi.org/10.20944/preprints202408.1446.v1 Muhammed, A.; Błaszczyk, Ph.D., P. Comparative Review of Multi-Criteria Decision-Making Methods. Preprints 2024, 2024081446. https://doi.org/10.20944/preprints202408.1446.v1
Abstract
Performance analysis of companies is critical for decision-makers in the financial sector, particularly when resources are limited. This study investigates the properties of various Multi-Criteria Decision-Making (MCDM) methods, critically comparing their results in evaluating the performance of consumer goods companies listed on the Nigerian Stock Exchange (NSE). The analysis utilizes financial ratios, with weights derived using Buckley's Column Geometric Mean Method, a fuzzy ranking approach. The study concludes by comparing TOPSIS, VIKOR, and ELECTRE methods, determining the final rankings of these companies, and interpreting these rankings based on financial ratios over a five-year period (2016-2020).
Keywords
MCDM; performance analysis; TOPSIS; VIKOR; ELECTRE; financial ratios
Subject
Computer Science and Mathematics, Applied Mathematics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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