Cost Accounting Algorithm of Environmental Pollution Control Based on Discrete Probability

Author:

Xu Bing1ORCID

Affiliation:

1. Commercial College, Ezhou Vocational University, Ezhou 436000, China

Abstract

Aiming at the problems of high error rate and long time of traditional environmental pollution control cost accounting algorithm, a cost accounting algorithm of environmental pollution control based on discrete probability was designed. Firstly, the cost of environmental pollution is classified and the monetization function of environmental pollution cost is constructed. Then, the cost accounting index system of environmental pollution control is established, and the cost function of environmental pollution control is constructed. Finally, a discrete probability model is used to optimize the cost function, and the optimized cost function is used to design the environmental pollution control cost accounting algorithm. The experimental results show that the proposed algorithm can quickly converge to the optimum within 70 iterations, the accounting error rate is between -0.2% and 1.3%, and the accounting time is always less than 0.4 s. It has good convergence and can accurately calculate the cost of ecological environmental pollution control.

Publisher

Hindawi Limited

Subject

Modeling and Simulation

Reference44 articles.

1. Environmental pollution cost accounting based on environmental treatment cost metho case study of Quanzhou city;Q. L. Chen;Environment and Sustainable Development,2017

2. Analysis of cost accounting model of eco-environmental pollution collaborative management of small and medium-sized enterprises;G. Ting;Environmental Science and Management,2019

3. Research on Optimization Effect of Environmental Pollution Accounting Control Based on Green Low Carbon Background

4. Cost accounting algorithm of environmental pollution control based on activity based costing;X. D. Yang;China’s Population, Resources and Environment,2018

5. Cost accounting algorithm of environmental pollution control based on multi-attribute analysis;J. C. Gao;Mathematical Modeling and its Application,2018

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