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

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.

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Publication Details

Journal
International Journal of Information Technology & Decision Making
Published
2025-01-01
DOI
https://doi.org/10.1142/s0219622025500014
Primary Topic
Advanced Decision-Making Techniques
Type
article
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article

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

Xinwang Liu, Wangwang Yu, Yingping Zi
International Journal of Information Technology & Decision Making
Advanced Decision-Making Techniques
article

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

Xinwang Liu, Wangwang Yu, Yingping Zi
article en

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.

International Journal of Information Technology & Decision MakingVol. 24(01)
Southeast University (CN)
Openalex Percentile: Top 100%
Advanced Decision-Making Techniques
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