A Hybrid MCDM Model for Evaluating the Market-Oriented Business Regulatory Risk of Power Grid Enterprises Based on the Bayesian Best-Worst Method and MARCOS Approach

A Hybrid MCDM Model for Evaluating the Market-Oriented Business Regulatory Risk of Power Grid Enterprises Based on the Bayesian Best-Worst Method and MARCOS Approach

As a result of the deepening of China’s power system reform, the market-oriented business development of power grid enterprises is in full swing. However, most of the existing research has focused on the regulatory risks of the regulatory business for power grid enterprises, while ignoring the regul...

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Bibliographic Details
Main Authors: Lin, S. (Author), Sun, J. (Author), Xu, Z. (Author), Ye, Y. (Author), Zhang, Z. (Author), Zhao, H. (Author), Zhao, Y. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
BAD methods
Bayesian
Bayesian best-bad method
Bayesian best-worst method
Commerce
Decision making
Electric power transmission networks
Grid enterprise
MARCOS approach
market-oriented business
Market-oriented business
Multi-criteria decision-making models
Power
Power grids
regulatory risk
Regulatory risks
Risk assessment
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