Araştırma Makalesi

A Bibliometric Analysis of Possibilistic Portfolio Selection Models

Cilt: 11 Sayı: 1 30 Haziran 2024
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A Bibliometric Analysis of Possibilistic Portfolio Selection Models

Öz

Possibility theory is one of the most used uncertainty theories in decision-making. This study aims to examine possibilistic portfolio selection models. In this context, we perform their bibliometric analysis with the Web of Science (WOS) data, using the Bibliometrix, without limiting the timespan. We get many results by analyzing the data of 303 documents, of which timespan is from 1995 to 2023. We see that W. G. Zhang is the most influential author in this field. The paper introducing the possibilistic mean-variance (MV) model is the most influential document in this field. The paper introducing Markowitz’s MV model is the most influential reference. China is the most productive country in this field, whereas The South China University of Technology is the most productive institution in this field. Fuzzy Sets and Systems is the most influential journal in this field. Variance originated from Markowitz’s MV model is the most critical keyword plus in this field. It has also maintained its trend topic position for a long time. To the best of our knowledge, this is the first paper making a bibliometric analysis of possibilistic portfolio selection models.

Anahtar Kelimeler

Kaynakça

  1. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975.
  2. Batra, S., Saini, M., Yadav, M., & Aggarwal, V. (2022). Mapping the intellectual structure and demystifying the research trend of cross listing: A bibliometric analysis. Managerial Finance, 49(6), 992-1016.
  3. Carlsson, C., & Fuller, R. (2001). On possibilistic mean value and variance of fuzzy numbers. Fuzzy Sets and Systems, 122(2), 315-326.
  4. Carlsson, C., Fuller, R., & Majlender, P. (2002). A possibilistic approach to selecting portfolios with highest utility score. Fuzzy Sets and Systems, 131(1), 13-21.
  5. Chen, W. (2009). Weighted portfolio selection models based on possibility theory. Fuzzy Information and Engineering, 1, 115-127.
  6. Cobo, M. J., Jürgens, B., Herrero-Solana, V., Martínez, M. A., & Herrera-Viedma, E. (2018). Industry 4.0: A perspective based on bibliometric analysis. Procedia Computer Science, 139, 364-371.
  7. Deng, X., & Li, R. (2012). A portfolio selection model with borrowing constraint based on possibility theory. Applied Soft Computing, 12(2), 754-758.
  8. Deng, X., & Lin, Y. (2022). Improved particle swarm optimization for mean-variance-Yager entropy-social responsibility portfolio with complex reality constraints. Engineering Computations, 39(4), 1288-1316.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Yöneylem Araştırması, Finans

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Haziran 2024

Gönderilme Tarihi

26 Ocak 2024

Kabul Tarihi

11 Mayıs 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 11 Sayı: 1

Kaynak Göster

APA
Göktaş, F. (2024). A Bibliometric Analysis of Possibilistic Portfolio Selection Models. Pamukkale Üniversitesi İşletme Araştırmaları Dergisi, 11(1), 127-141. https://doi.org/10.47097/piar.1426345
AMA
1.Göktaş F. A Bibliometric Analysis of Possibilistic Portfolio Selection Models. piar. 2024;11(1):127-141. doi:10.47097/piar.1426345
Chicago
Göktaş, Furkan. 2024. “A Bibliometric Analysis of Possibilistic Portfolio Selection Models”. Pamukkale Üniversitesi İşletme Araştırmaları Dergisi 11 (1): 127-41. https://doi.org/10.47097/piar.1426345.
EndNote
Göktaş F (01 Haziran 2024) A Bibliometric Analysis of Possibilistic Portfolio Selection Models. Pamukkale Üniversitesi İşletme Araştırmaları Dergisi 11 1 127–141.
IEEE
[1]F. Göktaş, “A Bibliometric Analysis of Possibilistic Portfolio Selection Models”, piar, c. 11, sy 1, ss. 127–141, Haz. 2024, doi: 10.47097/piar.1426345.
ISNAD
Göktaş, Furkan. “A Bibliometric Analysis of Possibilistic Portfolio Selection Models”. Pamukkale Üniversitesi İşletme Araştırmaları Dergisi 11/1 (01 Haziran 2024): 127-141. https://doi.org/10.47097/piar.1426345.
JAMA
1.Göktaş F. A Bibliometric Analysis of Possibilistic Portfolio Selection Models. piar. 2024;11:127–141.
MLA
Göktaş, Furkan. “A Bibliometric Analysis of Possibilistic Portfolio Selection Models”. Pamukkale Üniversitesi İşletme Araştırmaları Dergisi, c. 11, sy 1, Haziran 2024, ss. 127-41, doi:10.47097/piar.1426345.
Vancouver
1.Furkan Göktaş. A Bibliometric Analysis of Possibilistic Portfolio Selection Models. piar. 01 Haziran 2024;11(1):127-41. doi:10.47097/piar.1426345

Cited By

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