<abstract xmlns="http://www.w3.org/1999/xhtml">
<p>To realize the combination of artificial intelligence and building material manufacturing and its construction in the assembly building, this paper conducts a comprehensive evaluation analysis of assembly building material manufacturing based on a fuzzy object element evaluation model. Firstly, a comprehensive evaluation index system of 5 primary indicators and 18 secondary indicators corresponding to them is established based on the characteristic data of construction material manufacturing. Secondly, the weights of the relevant construction material manufacturing indicators are calculated by combining the ANP method and entropy weighting method to comprehensively evaluate construction materials and construction material utilization of a specific assembly building project. Finally, the constructed evaluation model is applied to the Guiyang JY project, and the fuzzy object element evaluation model calculates the primary and secondary index weights. From the performance of the primary indicators, the average weight value of the entropy method is 19.37%, which is better than the average weight value of 18.15% of the hierarchical analysis method. In terms of the performance of the secondary indexes, the average weight value of the entropy method is 5.09% compared to the average weight value of the hierarchical analysis method of 4.96%, which is more favorable to the research and analysis of the construction of assembled buildings. This study has a guiding reference value for improving the construction level of assembled buildings in China by analyzing artificial intelligence technology in material manufacturing and assembled building construction.</p>
</abstract>

To realize the combination of artificial intelligence and building material manufacturing and its construction in the assembly building, this paper conducts a comprehensive evaluation analysis of assembly building material manufacturing based on a fuzzy object element evaluation model. Firstly, a comprehensive evaluation index system of 5 primary indicators and 18 secondary indicators corresponding to them is established based on the characteristic data of construction material manufacturing. Secondly, the weights of the relevant construction material manufacturing indicators are calculated by combining the ANP method and entropy weighting method to comprehensively evaluate construction materials and construction material utilization of a specific assembly building project. Finally, the constructed evaluation model is applied to the Guiyang JY project, and the fuzzy object element evaluation model calculates the primary and secondary index weights. From the performance of the primary indicators, the average weight value of the entropy method is 19.37%, which is better than the average weight value of 18.15% of the hierarchical analysis method. In terms of the performance of the secondary indexes, the average weight value of the entropy method is 5.09% compared to the average weight value of the hierarchical analysis method of 4.96%, which is more favorable to the research and analysis of the construction of assembled buildings. This study has a guiding reference value for improving the construction level of assembled buildings in China by analyzing artificial intelligence technology in material manufacturing and assembled building construction.

Construction material manufacturing in the context of artificial intelligence and its use in the construction of assembled buildings

Applied Mathematics and Nonlinear Sciences

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

To realize the combination of artificial intelligence and building material manufacturing and its construction in the assembly building, this paper conducts a...

Construction material manufacturing in the context of artificial intelligence and its use in the construction of assembled buildings

Pubblicato online: 29 lug 2023

Pagine: -

Ricevuto: 02 ott 2022

Accettato: 06 feb 2023

DOI: https://doi.org/10.2478/amns.2023.2.00101

Parole chiave
Construction materials, Fuzzy physical element evaluation model, APN method, Entropy weight method, Assembly building

© 2023 Shourui Wang, published by Sciendo

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

Construction material manufacturing in the context of artificial intelligence and its use in the construction of assembled buildings

Pubblicato online: 29 lug 2023

Pagine: -

Ricevuto: 02 ott 2022

Accettato: 06 feb 2023

DOI: https://doi.org/10.2478/amns.2023.2.00101

Parole chiaveConstruction materials, Fuzzy physical element evaluation model, APN method, Entropy weight method, Assembly building

© 2023 Shourui Wang, published by Sciendo

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

Parole chiave
Construction materials, Fuzzy physical element evaluation model, APN method, Entropy weight method, Assembly building