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Research on Artificial Intelligence Cash Budget of Electric Power Enterprise Based on Evidence Reasoning

  • Zhiqiang LiEmail author
  • Jiting Gu
Conference paper
  • 30 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1147)

Abstract

In order to solve the problems of complexity, uncertainty and fuzziness in the current cash budget decision-making of electric power enterprises, this paper starts with the research and analysis of the current situation of cash budget management of electric power enterprises, and realizes the optimal decision-making under various decision-making schemes with the help of the evidence reasoning model in the field of artificial intelligence decision-making. The distribution evaluation with confidence is used to represent the decision-maker’s optimal decision. Finally, the basic attributes are weighted and summed to achieve the optimal decision of cash outflow budget. Through the empirical analysis, the applicability and scientificity of evidence reasoning in the cash budget of power enterprises are verified, and the relevant suggestions for the cash budget of power enterprises are put forward.

Keywords

Evidential reasoning Power enterprise Artificial intelligence Cash budget 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Economic and Technological Research Institute of State Grid Zhejiang Electric Power Co., Ltd.Nanqiao, ChuzhouChina

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