Research Article

A Bibliometric Analysis of Possibilistic Portfolio Selection Models

Volume: 11 Number: 1 June 30, 2024
TR EN

A Bibliometric Analysis of Possibilistic Portfolio Selection Models

Abstract

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.

Keywords

References

  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.

Details

Primary Language

English

Subjects

Operations Research, Finance

Journal Section

Research Article

Publication Date

June 30, 2024

Submission Date

January 26, 2024

Acceptance Date

May 11, 2024

Published in Issue

Year 2024 Volume: 11 Number: 1

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. Pamukkale Business Research. 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 (June 1, 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”, Pamukkale Business Research, vol. 11, no. 1, pp. 127–141, June 2024, doi: 10.47097/piar.1426345.
ISNAD
Göktaş, Furkan. “A Bibliometric Analysis of Possibilistic Portfolio Selection Models”. Pamukkale Üniversitesi İşletme Araştırmaları Dergisi 11/1 (June 1, 2024): 127-141. https://doi.org/10.47097/piar.1426345.
JAMA
1.Göktaş F. A Bibliometric Analysis of Possibilistic Portfolio Selection Models. Pamukkale Business Research. 2024;11:127–141.
MLA
Göktaş, Furkan. “A Bibliometric Analysis of Possibilistic Portfolio Selection Models”. Pamukkale Üniversitesi İşletme Araştırmaları Dergisi, vol. 11, no. 1, June 2024, pp. 127-41, doi:10.47097/piar.1426345.
Vancouver
1.Furkan Göktaş. A Bibliometric Analysis of Possibilistic Portfolio Selection Models. Pamukkale Business Research. 2024 Jun. 1;11(1):127-41. doi:10.47097/piar.1426345

Cited By

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