The Best Evaluation Sequence Method and Application Based On Quantum Cognitive Theory

Wangwang Yu, Xinwang Liu and Yingping Zi
Additional contact information
Wangwang Yu: School of Economics and Management, Southeast University, Jiangning District, Nanjing 211189, China
Xinwang Liu: School of Economics and Management, Southeast University, Jiangning District, Nanjing 211189, China
Yingping Zi: School of Economics and Management, Southeast University, Jiangning District, Nanjing 211189, China

International Journal of Information Technology & Decision Making (IJITDM), 2025, vol. 24, issue 01, 169-196

Abstract: In the credit risk evaluation process, considering that the decision maker’s irrational behavior may cause the interference effect between evaluation information, and further decrease the reliability of evaluation results. To solve this problem, the best evaluation sequence method and its application in credit risk evaluation based on quantum cognitive theory is proposed in this paper. First, the quantum cognition theory and the evaluation information given by the decision maker are used to get the interference degree between evaluation information. Second, the interference degree between evaluation information is aggregated to obtain the comprehensive interference degree of each alternative. Third, according to the idea that the greater the comprehensive interference degree of the alternative, the more backward the evaluation sequence of the alternative is, we determine the best evaluation sequence of alternatives. Finally, our proposed method is applied to obtain the best evaluation sequence of commercial bank credit risk.

Keywords: Credit risk; quantum cognitive theory; interference effect; best evaluation sequence (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219622025500014
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:24:y:2025:i:01:n:s0219622025500014

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219622025500014

Access Statistics for this article

International Journal of Information Technology & Decision Making (IJITDM) is currently edited by Yong Shi

More articles in International Journal of Information Technology & Decision Making (IJITDM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().