<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Amidst the rapid evolution of the digital economy, this research positions fuzzy rough set theory at the forefront of industrial economic modeling, acknowledging its profound capability to manage uncertain information. This theory’s analytical precision facilitates a deep dive into the dynamics of industrial economic growth, enabling the refinement of industrial structures for sustainable development. Our empirical investigation into region A’s grain industry showcases a remarkable output growth of 272.88% from 2008 to 2018, with a model accuracy exceeding 95%. Analysis on cost inputs further demonstrates how innovation in science and technology plays a crucial role in cost reduction. By leveraging fuzzy rough set theory, this work contributes significantly to the strategic development of industrial economics, offering a robust methodology for data-driven analysis and forecasting in industrial sectors.</p>
</abstract>

Amidst the rapid evolution of the digital economy, this research positions fuzzy rough set theory at the forefront of industrial economic modeling, acknowledging its profound capability to manage uncertain information. This theory’s analytical precision facilitates a deep dive into the dynamics of industrial economic growth, enabling the refinement of industrial structures for sustainable development. Our empirical investigation into region A’s grain industry showcases a remarkable output growth of 272.88% from 2008 to 2018, with a model accuracy exceeding 95%. Analysis on cost inputs further demonstrates how innovation in science and technology plays a crucial role in cost reduction. By leveraging fuzzy rough set theory, this work contributes significantly to the strategic development of industrial economics, offering a robust methodology for data-driven analysis and forecasting in industrial sectors.

Research on Industrial Economics Models in Rapid Development of Digital Economy

Xi’An University of Architecture and Technology Huaqing College

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Research on Industrial Economics Models in Rapid Development of Digital Economy"}

Amidst the rapid evolution of the digital economy, this research positions fuzzy rough set theory at the forefront of industrial economic modeling,...

Research on Industrial Economics Models in Rapid Development of Digital Economy

Data publikacji: 03 maj 2024

Zakres stron: -

Otrzymano: 15 kwi 2024

Przyjęty: 20 kwi 2024

DOI: https://doi.org/10.2478/amns-2024-0873

Słowa kluczowe
Fuzzy rough set theory, Industrial economics modeling, Data analysis, Output growth

© 2024 Jing Ma, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on Industrial Economics Models in Rapid Development of Digital Economy

Data publikacji: 03 maj 2024

Zakres stron: -

Otrzymano: 15 kwi 2024

Przyjęty: 20 kwi 2024

DOI: https://doi.org/10.2478/amns-2024-0873

Słowa kluczoweFuzzy rough set theory, Industrial economics modeling, Data analysis, Output growth

© 2024 Jing Ma, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Fuzzy rough set theory, Industrial economics modeling, Data analysis, Output growth