Application of AHP-TOPSIS method in the preferred optimization of mining method

Lanying Lian; Zhongnan Li; Ying Liu

doi:10.1117/12.3011631

7 December 2023 Application of AHP-TOPSIS method in the preferred optimization of mining method

Lanying Lian, Zhongnan Li, Ying Liu

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129413B (2023) https://doi.org/10.1117/12.3011631
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

The selection of mining method is a comprehensive judgment with multi-objective and multi-hierarchy. The traditional selection methods are not scientific enough for traditional decision-making. Here, based on the application of the combined analytic hierarchy process and technique for order preference by similarity to ideal solution (AHP-TOPSIS) on various possible mining method. A model of fuzzy hierarchy analysis was built up to evaluate and determine the best mining method. Our results proved that the AHP-TOPSIS is a practical, reliable and scientific method for the determination of mining method.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lanying Lian, Zhongnan Li, and Ying Liu "Application of AHP-TOPSIS method in the preferred optimization of mining method", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129413B (7 December 2023); https://doi.org/10.1117/12.3011631

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