Abstract
In order to deal with the problems of low analysis accuracy and poor security in the current enterprise economic benefit data analysis, this paper proposes an enterprise economic benefit data envelopment analysis algorithm based on leapfrog algorithm. According to the proposed method, with the help of comparing and analyzing different analysis algorithms of enterprise economic benefit data, the data envelopment analysis algorithm with strong usability is selected firstly. After that, the effectiveness of DEA is judged by introducing relaxation variables with the help of the data envelopment analysis algorithm, and the non-Archimedean infinitesimal model is used to build the basic operation mechanism. On this basis, the overall operation mechanism of leapfrog algorithm component is used to clarify the value range of relevant economic benefit data and the number of global mixed iterations. The experimental results show that the envelope analysis of enterprise economic benefit-related data using this method can not only improve the accuracy of data analysis but also effectively improve the security of relevant business data.
Highlights
With the continuous development of world economic globalization, the overall market competition in the world has become more intense, and the development of enterprises has entered a new stage
With the impact of economic globalization on the US border trade and other factors, how to more comprehensively understand the operation of enterprises has become the focus of attention
In recent years, with the in-depth development of lean management in China’s enterprise management concept, more and more enterprises gradually accept and integrate this modern management concept and method, and enterprise managers move forward from extensive management to lean management, which means that enterprise managers pay more and more attention to the effective analysis of enterprise economic benefits
Summary
With the continuous development of world economic globalization, the overall market competition in the world has become more intense, and the development of enterprises has entered a new stage. At the same time, compared with the nested stochastic simulation commonly used in the measurement of economic capital, the operation efficiency is greatly improved This method cannot achieve classification and comparison in analysis, so the accuracy of the final analysis data is relatively low, and the security cannot be guaranteed. Using the data envelopment analysis algorithm, the effectiveness of DEA is judged by introducing relaxation variables, and the non-Archimedean infinitesimal model is used to build the basic operation mechanism On this basis, the overall operation mechanism of leapfrog algorithm component is used to clarify the value range of relevant economic benefit data and the number of global mixed iterations: input the relevant economic benefit values, determine whether the global mixed iteration times are reached by delimiting the value range, output the optimal control parameters according to the fitness arrangement order, and obtain the global optimal analysis results.
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