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Decision analysis method of knowledge economy management based on rough set algorithm

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  • Chengwang Lin

Abstract

A decision analysis method of knowledge economy management based on rough set algorithm is designed in order to solve the problems of low recall rate and poor anti-interference of decision results in the economic management decision analysis method. First, rough set algorithm is used to establish data category label set after data reduction, and fuzzy classification is used to divide data categories. Then, the management decision analysis model is designed from four aspects of management. Finally, the proportion of the four management models in the overall decision-making system is calculated, and the comprehensive decision-making analysis results of knowledge economy management are obtained according to the empowerment situation. The experiment shows that the recall rate of decision results of this method is more than 95%, and the value of anti-interference factor is more than 0.950, which has good performance.

Suggested Citation

  • Chengwang Lin, 2023. "Decision analysis method of knowledge economy management based on rough set algorithm," International Journal of Sustainable Development, Inderscience Enterprises Ltd, vol. 26(3/4), pages 206-225.
    • Handle: RePEc:ids:ijsusd:v:26:y:2023:i:3/4:p:206-225
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