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Enterprise Credit Rating Method Based on Stochastic Dominance Under Linguistic Distribution Assessments Context

In: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author

Listed:
  • Hui Hu

    (Sichuan University, Business School)

  • Haiming Liang

    (Sichuan University, Business School)

Abstract

In the process of enterprise risk management, credit rating is an important and effective method, which has been widely used in many fields. However, current credit rating methods rarely consider linguistic distribution assessment, which is often given by many experts. Inspired by this, in this paper, we developed a corporate credit rating method based on the stochastic dominance theory in the context of linguistic distribution assessment. In this method, the stochastic dominance theory and the minimum adjustment model are combined to establish a minimum adjustment cost model to achieve consensus in the process of credit rating. Then, we propose a dominance method to calculate the dominance degree of the distribution evaluation of any two languages, and then determine the ranking results of enterprises.

Suggested Citation

  • Hui Hu & Haiming Liang, 2024. "Enterprise Credit Rating Method Based on Stochastic Dominance Under Linguistic Distribution Assessments Context," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 302-308, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-256-9_32
    DOI: 10.2991/978-94-6463-256-9_32
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