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昆明冶金高等专科学校学报 ›› 2025, Vol. 41 ›› Issue (1): 22-.DOI: 10. 3969/j. issn. 1009 - 0479. 2025. 01. 004

• 资源开发与测绘 • 上一篇    

基于组合赋权和隶属函数的采场结构 参数多目标优选

  

  1. 昆明有色冶金设计研究院股份公司,云南 昆明 650231
  • 收稿日期:2024-05-18 出版日期:2025-02-07 发布日期:2025-09-26
  • 作者简介:邓 良(1986-),男,云南昆明人,高级工程师,工学硕士,主要从事矿山工程咨询设计与研究。

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

  1. Kunming Nonferrous Metallurgical Design and Research Institute Co. , Ltd. , Kunming 650231, China
  • Received:2024-05-18 Online:2025-02-07 Published:2025-09-26

摘要: 为了对采场结构参数进行优化选择,从安全、技术、经济和环保等层面选取指标构建采场结构参数优 选指标体系。采用模糊隶属思想对采场结构参数进行了包含安全、技术、经济及环保等多个目标的综合优选。 为了对优选过程中各指标权重进行准确计算,依靠专家主观经验采用GI理论计算优选指标的主观权重;以采场 结构参数优选指标信息为基础,采用熵权法计算优选指标的客观权重,对主客观权重组合赋权求得优选指标的 综合权重。利用隶属函数对指标数值所包含的多重属性进行了处理,最终优选出安全、技术和经济综合最优的 采场结构参数组合。实例证明:纽合赋权结合模糊优选法能够对采场结构参数进行多目标科学优选,为矿山企 业选择综合效益最优的采场结构参数。

关键词: font-family:", background-color:#FFFFFF, ">采场, 结构参数, 优选, 纽合赋权, 隶属函数

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

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