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使用基于T球模糊信息的Aczel-Alsina聚合运算符对矿山规划进行3D地震分析

Lijun Ma¹, Kinza Javed², Zeeshan Ali²

¹College of Land and Resources, Hebei Agricultural University, Baoding, 071000, China.

Scientific reports

|February 18, 2024

概括

这项研究使用3D地震属性分析增强了金矿规划. 新型模糊集运营商提高了地下地质特征识别决策准确度.

科学领域:

地质物理学地质物理学
数据科学数据科学数据科学
采矿工程采矿工程采矿工程

背景情况:

3D地震属性分析有助于精确识别地下地质特征,结构,断层和矿石体.
准确的地质评估对于有效的金矿规划和开发至关重要.

研究的目的:

评估3D地震属性分析在金矿规划中的应用.
引入和利用新的复杂T球犹模糊 (CTSHF) 设置操作员进行决策.

主要方法:

开发和调查CTSHF设置的运行法律.
导出CTSHF Aczel-Alsina权重功率平均 (CTSHFAAWPA) 和几何 (CTSHFAAWPG) 运算符,以及它们的顺序变体 (CTSHFAAOWPA,CTSHFAAOWPG).
这些运营商在多属性决策 (MADM) 框架内应用于矿山规划挑战.

主要成果:

拟议的CTSHF运营商及其属性被数学定义.
通过用于矿山规划的3D地震属性分析的示例来证明衍生操作者的有效性.
对现有和拟议的方法进行了比较,以验证改进的决策能力.

结论:

新型CTSHF运算器为金矿规划中的3D地震属性分析提供了更高的精度.
开发的MADM技术结合了这些模糊运算符,提高了地下特征和矿石体识别的准确性.
这项研究为地质学家和矿山开发人员提供了宝贵的工具,以优化资源勘探和规划.

关键词:

阿切尔阿尔西纳电力聚合运营商分析金矿的情况.复杂的T球犹不决的模糊集.决策问题决策问题

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