Multi-objective Optimization of Stope Structural Parameters Based on Combined Weighting and Membership Functions

doi:10. 3969/j. issn. 1009 - 0479. 2025. 01. 004

Abstract

Abstract: In order to optimize the selection of mining stope structural parameters, indicators were select- ed from the perspectives of safety, technology, economy, and environmental protection to construct an optimization indicator system for mining stope structural parameters. The fuzzy membership approach was used to comprehensively optimize the structural parameters of mining stopes, considering multiple objec- tives such as safety, technology, economy, and environmental protection. To accurately calculate the weights of each indicator in the optimization process, the subjective weights of the selected indicators were calculated using the GI theory based on expert subjective experience. Additionally, the entropy weight method was employed to calculate the objective weights of the optimization indicators based on the infor- mation derived from the mining stope structural parameters. The combination of subjective and objective weights was then applied to assign comprehensive weights to the optimization indicators. The multiple at- tributes embedded in the indicator values were processed using membership functions. Ultimately, the optimal combination of mining stope structural parameters, taking into account safety, technology, and e- conomy, was selected. The results demonstrate that the combination weighting method, along with fuzzy optimization, can achieve a multi-objective scientific optimization of mining stope structural parameters, selecting the combination with the best comprehensive benefits for mining enterprises.

Key words: font-family:", background-color:#FFFFFF, ">mining stope, structural parameters, optimization, combination weighting, membership fun tion

CLC Number:

DENG Liang.