首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Mineral prospectivity mapping for Porphyry-type and hydrothermal vein-type copper deposits using fuzzy analytical hierarchy process and geographic information system
【24h】

Mineral prospectivity mapping for Porphyry-type and hydrothermal vein-type copper deposits using fuzzy analytical hierarchy process and geographic information system

机译:运用模糊层次分析法和地理信息系统绘制斑岩型和热液脉型铜矿床的矿物前景图

获取原文
获取原文并翻译 | 示例
           

摘要

Mineral prospectivity mapping (MPM) is used to delineate target areas that most likely contain mineral deposits of a particular type. With MPM, it is difficult to properly present the geological, geophysical, geochemical and remote sensing information representing the metallogenic favorability, due to the complexity and uncertainty of ore-forming background, cause and mechanism. Fuzzy analytical hierarchy process (AHP) has been proposed to reflect various fuzzy concepts in MPM objectively. It is an extension of conventional AHP and employs fuzzy set theory to handle uncertainty. In this study, fuzzy AHP and geographic information system (GIS) were applied for mineral prospectivity mapping. Results confirm that fuzzy AHP is an effective knowledge-driven MPM method. In the MPM process, GIS serves as an auxiliary tool of fuzzy AHP, achieving the processing and integration of basic data, spatial analysis, and result presentation. The classes of 15 Alternatives layers are assigned with weights according to the studentized contrast (S(C)) in weights-of-evidence method. That is why the fuzzy AHP-based MPM could make a better prediction in this study.
机译:矿物远景测绘(MPM)用于描绘最可能包含特定类型矿床的目标地区。使用MPM,由于成矿背景,成因和机制的复杂性和不确定性,很难正确地表示代表成矿有利性的地质,地球物理,地球化学和遥感信息。提出了模糊层次分析法(AHP)来客观地反映MPM中的各种模糊概念。它是常规AHP的扩展,并采用模糊集理论来处理不确定性。在这项研究中,将模糊层次分析法和地理信息系统(GIS)应用于矿产前景图。结果证明,模糊层次分析法是一种有效的知识驱动的MPM方法。在MPM过程中,GIS是模糊AHP的辅助工具,可以实现基本数据的处理和集成,空间分析以及结果表示。根据证据权重方法中的学生对比(S(C)),为15个Alternatives层的类别分配权重。这就是为什么在本研究中基于模糊AHP的MPM可以做出更好的预测的原因。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号