A credit risk evaluation based on intuitionistic fuzzy set theory for the sustainable development of electricity retailing companies in China

• Main Authors: Gejirifu De, Zhongfu Tan, Menglu Li, Lilin Huang, Qiang Wang, Huanhuan Li
• Format: Article
• Language: English
• Published: Wiley 2019-12-01
• Series: Energy Science & Engineering
• Subjects: credit risk evaluation; electricity retailing company; intuitionistic fuzzy set theory; the mechanism of variable weight
• Online Access: https://doi.org/10.1002/ese3.464

Abstract As China's power market becomes more orderly, electricity retailing companies are influenced by multiple factors restricting their healthy, stable, and sustainable development. This paper explores these issues through four dimensions, the external basic environment, operating credit risk, financial credit risk, and transaction credit risk, and determines the credit risk evaluation index system, which includes 22 factors relevant to electricity retailing companies. To achieve this, this paper utilizes the characteristics of the intuitionistic fuzzy set theory and, in an uncertain environment, the proposed credit risk assessment model based on the intuitionistic fuzzy analytic hierarchy process (IFAHP). In order to improve the identification degree of the credit risk evaluation of electricity retailing companies, a penalty factor is introduced into the model, and the variable weight mechanism of dynamic adjustment hesitancy is proposed. Finally, we select five electricity retailing companies and use different evaluation methods to conduct a comprehensive credit risk evaluation, so as to improve the credit risk level of electricity retailing companies.