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

Mahmut BAYDAŞ

doi:https://doi.org/10.26466/opusjsr.1064280

Makale detayları

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

Yazarlar:

Mahmut BAYDAŞ

Yayıncı:

İdeal Kent Yayınları

Ana Başlıklar:

Sosyoloji & antropoloji

Dergi:

OPUS Journal of Society Research 2022 Vol.19 Issue 46, pp.308-326

Belge Tipi:

Makale

Yayın Tarihi:

3/2022

Belge Dili:

İngilizce

Document ID (Org No.):

2000540663

Sıklık:

İki Aylık

eISSN:

2791-9862

DOI:

https://doi.org/10.26466/opusjsr.1064280

Özet:

 

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.

Makale detayları

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

Yazarlar: Mahmut BAYDAŞ

Yayıncı: İdeal Kent Yayınları

Ana Başlıklar: Sosyoloji & antropoloji

Dergi: OPUS Journal of Society Research 2022 Vol.19 Issue 46, pp.308-326

Belge Tipi: Makale

Yayın Tarihi: 3/2022

Belge Dili: İngilizce

Document ID (Org No.): 2000540663

Sıklık: İki Aylık

eISSN: 2791-9862

DOI: https://doi.org/10.26466/opusjsr.1064280

Sayı

Yazarlar:

Mahmut BAYDAŞ

Yayıncı:

İdeal Kent Yayınları

Ana Başlıklar:

Sosyoloji & antropoloji

Dergi:

OPUS Journal of Society Research 2022 Vol.19 Issue 46, pp.308-326

Belge Tipi:

Makale

Yayın Tarihi:

3/2022

Belge Dili:

İngilizce

Document ID (Org No.):

2000540663

Sıklık:

İki Aylık

eISSN:

2791-9862

DOI:

https://doi.org/10.26466/opusjsr.1064280