Abstract

For a long time, the necessary funds of entire electric power industry is fully funded by the government or mandatory financial loans due to the monopoly of the electric power industry and the government acts, and which results in the research on the electric power enterprise financing credit capacity (FCC) evaluation is lacking. The financing capacity is influenced by many factors, including the qualitative indicators and quantitative indices, this paper overcomes the shortcoming of tradition linear evaluation methods of financing credit capacity, proposes a measuring method which establishes a capacity evaluation system combined with Kirkpatrick model and describes the evaluation mechanism based on fuzzy neural network (FNN) algorithm. The capacity evaluation of 10 enterprises shows that the results given by this model are reliable, and this method to evaluate the financing credit capacity is feasible.

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