Development the Novel FCF-SIWEC-RBNAR Hybrid Method for Financial Performance Evaluation

Hamide Özyürek, Galip Cihan Yalçın, Karahan Kara

2025

Abstract

Financial performance analyses are fundamental tools that provide insights into companies' financial conditions. The primary aim of this study is to develop a financial performance analysis method as a decision support system. In this context, the FCF-SIWEC-RBNAR (Fermatean Cubic Fuzzy- Simple Weight Calculation- Reference-Based Normalization Alternative Ranking) hybrid method was developed. In this method, expert weights are determined using FCF sets, while the weights of criteria are calculated using the FCF-SIWEC approach based on expert evaluations. Companies are then ranked according to their financial performance using the RBNAR method. To demonstrate the applicability of the proposed hybrid method, four case studies were conducted using data from 50 companies operating on Borsa Istanbul for the years 2020, 2021, 2022, and 2023. As a result of the research, the "Debt-to-Equity Ratio" was identified as the most significant financial criterion. Additionally, the financial performance rankings of companies were determined for each year. These findings support that the FCF-SIWEC-RBNAR hybrid method is a robust and applicable approach for financial performance evaluation.

Paper Citation

in Harvard Style

Özyürek H., Yalçın G. and Kara K. (2025). Development the Novel FCF-SIWEC-RBNAR Hybrid Method for Financial Performance Evaluation. In Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-758-0, SciTePress, pages 53-63. DOI: 10.5220/0013462100003967

in Bibtex Style

@conference{data25,
author={Hamide Özyürek and Galip Yalçın and Karahan Kara},
title={Development the Novel FCF-SIWEC-RBNAR Hybrid Method for Financial Performance Evaluation},
booktitle={Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2025},
pages={53-63},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013462100003967},
isbn={978-989-758-758-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - Development the Novel FCF-SIWEC-RBNAR Hybrid Method for Financial Performance Evaluation
SN - 978-989-758-758-0
AU - Özyürek H.
AU - Yalçın G.
AU - Kara K.
PY - 2025
SP - 53
EP - 63
DO - 10.5220/0013462100003967
PB - SciTePress