Fuzzy outranking approach: A knowledge-driven method for mineral prospectivity mapping

被引：62

作者：

Abedi, Maysam ^{[1
]}

Norouzi, Gholam-Hossain ^{[1
]}

Fathianpour, Nader ^{[2
]}

机构：

[1] Univ Tehran, Dept Min Engn, Coll Engn, Tehran, Iran

[2] Isfahan Univ Technol, Dept Min Engn, Esfahan, Iran

来源：

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION | 2013年 / 21卷

关键词：

Knowledge-driven method; Mineral prospectivity mapping; Various geo-data sets; Fuzzy Outranking Method; ASTER Data; Porphyry Deposit; 2-DIMENSIONAL MAGNETIC BODIES; NORTHERN FENNOSCANDIAN SHIELD; OROGENIC GOLD; ANALYTIC SIGNAL; ALTERED ROCKS; ASTER DATA; DEPOSITS; EXPLORATION; INTEGRATION; LOGIC;

D O I：

10.1016/j.jag.2012.07.012

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

This paper describes the application of a new multi-criteria decision making (MCDM) technique called fuzzy outranking to map prospectivity for porphyry Cu-Mo deposits. Various raster-based evidential layers involving geological, geophysical, and geochemical geo-data sets are integrated for mineral prospectivity mapping (MPM). In a case study, 13 layers of the Now Chun deposit located in the Kerman province of Iran are used to explore the region of interest. The outputs are validated using 21 boreholes drilled in this area. Comparison of the output prospectivity map with concentrations of Cu and Mo in the boreholes indicates that the fuzzy outranking MCDM is a useful tool for MPM. The proposed method shows a high performance for MPM thereby reducing the cost of exploratory drilling in the study area. (C) 2012 Elsevier B.V. All rights reserved.

引用

页码：556 / 567

页数：12

共 78 条

[61] Bayesian network classifiers for mineral potential mapping [J].