2022OPUS Toplum Araştırmaları DergisiOpen access

Comparison of the Performances of MCDM Methods under Uncertainty: An Analysis on Bist SME Industry Index

Mahmut Baydaş

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Abstract

MCDM is a sort of ranking and selection methodology widely used both in daily life and in disciplines such as social, science, health, informatics, and engineering. However, the selection of an appropriate MCDM method is a common and chronic problem of these disciplines. Because the issue of determining the most appropriate method among MCDM methods has not been clarified yet. Since the algorithms of more than a hundred MCDM methods currently that are in use are different, the ranking they produce or the "best alternative" often varies. Although all these methods claim to suggest the best alternative, it is unclear which method should be chosen for the decision maker. In fact, it can be said that input capabilities are focused more in the selection of MCDM methods. On the other hand, besides the potential capabilities of MCDM methods, the results they produce are also important in comparison. In this direction, MCDM-based financial performance measurement of companies was made in this study. The performance of WSA and FUCA methods was evaluated according to Spearman rho and entropy values. Accordingly, the method with the highest capacity is clearly FUCA, because this method showed a clearly higher performance in 10 of 12 problems/terms according to both criteria.

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MCDM is a sort of ranking and selection methodology widely used both in daily life and in disciplines such as social, science, health, informatics, and engineering. However, the selection of an appropriate MCDM method is a common and chronic problem of these disciplines. Because the issue of determining the most appropriate method among MCDM methods has not been clarified yet. Since the algorithms of more than a hundred MCDM methods currently that are in use are different, the ranking they produce or the "best alternative" often varies. Although all these methods claim to suggest the best alternative, it is unclear which method should be chosen for the decision maker. In fact, it can be said that input capabilities are focused more in the selection of MCDM methods. On the other hand, besides the potential capabilities of MCDM methods, the results they produce are also important in comparison. In this direction, MCDM-based financial performance measurement of companies was made in this study. The performance of WSA and FUCA methods was evaluated according to Spearman rho and entropy values. Accordingly, the method with the highest capacity is clearly FUCA, because this method showed a clearly higher performance in 10 of 12 problems/terms according to both criteria.

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Available abstract

MCDM is a sort of ranking and selection methodology widely used both in daily life and in disciplines such as social, science, health, informatics, and engineering. However, the selection of an appropriate MCDM method is a common and chronic problem of these disciplines. Because the issue of determining the most appropriate method among MCDM methods has not been clarified yet. Since the algorithms of more than a hundred MCDM methods currently that are in use are different, the ranking they produce or the "best alternative" often varies. Although all these methods claim to suggest the best alternative, it is unclear which method should be chosen for the decision maker. In fact, it can be said that input capabilities are focused more in the selection of MCDM methods. On the other hand, besides the potential capabilities of MCDM methods, the results they produce are also important in comparison. In this direction, MCDM-based financial performance measurement of companies was made in this study. The performance of WSA and FUCA methods was evaluated according to Spearman rho and entropy values. Accordingly, the method with the highest capacity is clearly FUCA, because this method showed a clearly higher performance in 10 of 12 problems/terms according to both criteria.

Key concepts: Multiple-criteria decision analysis, Ranking (information retrieval), Selection (genetic algorithm), Computer science, sort, Entropy (arrow of time), Operations research, Management science

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