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The enthusiasm of coal-fired thermal power enterprises to participate in coal futures hedging to avoid the risk of coal price fluctuations is increasing. The key to hedge operation is to determine the total coal inventory required by the power generation company according to the amount of electricity generated. Participating in the hedging of coal futures not only plays a role in avoiding the risk of price fluctuation, but also reduces the occupation of funds and improves the utilization ratio of enterprises' funds. When the total stock of the power generation enterprise has been determined, the optimal ratio of coal futures hedging is calculated scientifically, and then the virtual stock position of coal is calculated, and the actual stock and virtual stock of the coal are reasonably determined. This paper constructs the optimization model of coal hedging ratio of coal-fired thermal power generation enterprises, and innovatively puts forward the Delphi method to determine the three coefficients in the hedging ratio model based on the practical experience. [ABSTRACT FROM AUTHOR]

In this paper, a framework under interval type-2 fuzzy (IT2F) environment is proposed to select the optimal green supplier of electric vehicle charging facility (EVCF). In the primary stage, a decision committee consisting of senior executives and experts is established, and qualified suppliers are also selected. The second stage aims to solve the problem of inherent uncertainties and criteria interactions. So, firstly, IT2F numbers are adopted for the performance evaluation since the criteria value cannot be adequately represented by type-1 fuzzy numbers. Then, λ -fuzzy measure is adopted to measure the fuzzy densities of criteria by considering the interactions. After that, these fuzzy densities and aggregated IT2F matrix are as inputs to a proposed IT2F Choquet integral (IT2FCI) operator to evaluate the suppliers. Finally, to illustrate the validity of the proposed framework, a case study with a sensitivity analysis is presented. The weighting results indicate that the criterion of "production cost" owns the largest fuzzy density of 0.65, and the sorting results show that none of these alternatives are optimal in all criteria and the results are relatively stable for a change in fuzzy density. [ABSTRACT FROM AUTHOR]