| Citation: | Ma Yao, Zhao Jiangnan, Liao Shili. Application of fuzzy analytic hierarchy process to mineral prospectivity mapping of polymetallic sulfide deposits in the Southwest Indian ridge between 46° to 52°E[J]. Bulletin of Geological Science and Technology, 2020, 39(6): 75-82. doi: 10.19509/j.cnki.dzkq.2020.0622
|
| [1] |
陶春辉, 李怀明, 金肖兵, 等.西南印度洋脊的海底热液活动和硫化物勘探[J].科学通报, 2014, 59(19):1812-1822.
|
| [2] |
Rona P A, Scott S D.A special issue on sea-floor hydrothermal mineralization:New perspectives, preface[J].Economic Geology, 1993, 88(8):1935-1976. doi: 10.2113/gsecongeo.88.8.1935
|
| [3] |
Pan G, Harris D P.Information synthesis for mineral exploration[M].New York:Oxford Univ. Press, 2000.
|
| [4] |
Carranza E J M, van Ruitenbeek F J A, Hecker C, et al.Knowledge-guided data-driven evidential belief modeling of mineral prospectivity in Cabo de Gata, SE Spain[J].International Journal of Applied Earth Observation and Geoinformation, 2008, 10(3):374-387. doi: 10.1016/j.jag.2008.02.008
|
| [5] |
邵珂, 陈建平, 任梦依, 印度洋中脊多金属硫化物矿产资源定量预测与评价[J].海洋地质与第四纪地质, 2015, 35(5):125-133.
|
| [6] |
Lin N, Chen Y, Lu L.Mineral potential mapping using a conjugate gradient logistic regression model[J].Natural Resources Research, 2019, 29(4):1-16.
|
| [7] |
Zuo R, Carranza E J M.Support vector machine:A tool for mapping mineral prospectivity[J].Computers & Geosciences, 2011, 37(12):1967-1975. http://dl.acm.org/citation.cfm?id=2073002
|
| [8] |
Porwal A, Carranza E J M, Hale M.Artificial neural networks for mineral-potential mapping:A case study from Aravalli Province[J].Natural Resources Research, 2003, 12(3):155-171. doi: 10.1023/A:1025171803637
|
| [9] |
Rodriguez-Galiano V, Mendes M P, Garcia-Soldado M J, et al.Predictive modeling of groundwater nitrate pollution using random forest and multisource variables related to intrinsic and specific vulnerability:A case study in an agricultural setting (Southern Spain)[J].Science of the Total Environment, 2014, 476-477:189-206. doi: 10.1016/j.scitotenv.2014.01.001
|
| [10] |
Carranza E J M, Hale M.Evidential belief functions for data-driven geologically constrained mapping of gold potential, Baguio district, Philippines[J].Ore Geology Reviews, 2003, 22(1/2):117-132. http://www.sciencedirect.com/science/article/pii/S0169136802001117
|
| [11] |
Bonham-Carter G F.Geographic information systems for geoscientists-modeling with GIS[J].Computer Methods in the Geoscientists, 1994, 13:398.
|
| [12] |
Najafi A, Karimpour M H, Ghaderi M.Application of fuzzy AHP method to IOCG prospectivity mapping:A case study in Taherabad prospecting area, eastern Iran[J].International Journal of Applied Earth Observation and Geoinformation, 2014, 33:142-154. doi: 10.1016/j.jag.2014.05.003
|
| [13] |
Yousefi M, Carranza E J M.Union score and fuzzy logic mineral prospectivity mapping using discretized and continuous spatial evidence values[J].Journal of African Earth Sciences, 2017, 128:47-60. doi: 10.1016/j.jafrearsci.2016.04.019
|
| [14] |
邢学文, 胡光道, 王正海, 等.模糊逻辑法在云南中甸地区铜矿潜力预测中的应用[J].地质科技情报, 2006, 25(6):55-60. http://d.wanfangdata.com.cn/Periodical/dzkjqb200606009
|
| [15] |
Carranza E J M, Mangaoang J C, Hale M.Application of mineral exploration models and GIS to generate mineral potential maps as input for optimum land-use planning in the Philippines[J].Natural Resources Research, 1999, 8(2):165-173. doi: 10.1023/A:1021846820568
|
| [16] |
Bonham-Carter G F.Geographic information systems for geoscientists:Modelling with GIS[M].Amsterdam Netherlands:Elsevier, 2014.
|
| [17] |
Pazand K, Hezarkhani A, Ghanbari Y.Fuzzy analytical hierarchy process and GIS for predictive Cu porphyry potential mapping:A case study in Ahar-Arasbaran Zone (NW, Iran)[J].Arabian Journal of Geosciences, 2014, 7(1):241-251. doi: 10.1007/s12517-012-0774-4
|
| [18] |
彭省临, 王颖, 杜瑞峰.模糊综合评判模型在隐伏矿定位预测中的应用[J].大地构造与成矿学, 2009, 33(2):253-258.
|
| [19] |
Zhou K, Zhang N.Mineral prospectivity mapping for porphyry-type and hydrothermal vein-type copper deposits using fuzzy analytical hierarchy process and geographic information system[J].Journal of Intelligent & Fuzzy Systems, 2016, 31(6):3143-3153.
|
| [20] |
黄大松, 张霄宇, 张国堙, 等.西南印度洋中脊48.6°~51.7°E沉积物地球化学特征[J].地质科技情报, 2016, 35(1):22-29. http://www.cnki.com.cn/Article/CJFDTotal-DZKQ201601004.htm
|
| [21] |
German C R, Baker E T, Mevel C, et al.Hydrothermal activity along the southwest Indian ridge[J].Nature, 1998, 395:490-493. doi: 10.1038/26730
|
| [22] |
曹红, 曹志敏.西南印度洋中脊海底热液活动[J].海洋地质与第四纪地质, 2011, 31(1):67-75.
|
| [23] |
Zhou H, Dick H J B.Thin crust as evidence for depleted mantle supporting the Marion Rise[J].Nature, 2013, 494:195-201. doi: 10.1038/nature11842
|
| [24] |
Dick H J B.Abyssal peridotites, very slow spreading ridges and ocean ridge magmatism[J].Geological Society, London, Special Publications, 1989, 42(1):71-105. doi: 10.1144/GSL.SP.1989.042.01.06
|
| [25] |
Tao C, Li H, Jin X, et al.Seafloor hydrothermal activity and polymetallic sulfide exploration on the southwest Indian ridge[J].Chinese Science Bulletin, 2014, 59(19):2266-2276. doi: 10.1007/s11434-014-0182-0
|
| [26] |
陈建平, 任梦依, 方捷, 等.洋中脊多金属硫化物成矿定量预测[M].北京:科学出版社, 2017.
|
| [27] |
贾晓青, 刘建, 罗明明, 等.基于改进的DRASTIC模型对香溪河典型岩溶流域地下水脆弱性评价[J].地质科技情报, 2019, 38(4):255-261.
|
| [28] |
周红, 朱芳冰.基于优化组合权-灰关联-TOPSIS的页岩气有利区优选[J].地质科技情报, 2018, 37(5):106-113.
|
| [29] |
吴千然, 牟中海, 丁晓军, 等.尕斯库勒油田N21油藏砂质辫状河储层构型研究[J].地质科技情报, 2019, 38(2):151-160.
|
| [30] |
Houshyar E, SheikhDavoodi M J, Almassi M, et al.Silage corn production in conventional and conservation tillage systems.Part Ⅰ:Sustainability analysis using combination of GIS/AHP and multi-fuzzy modeling[J].Ecological Indicators, 2014, 39:102-114. doi: 10.1016/j.ecolind.2013.12.002
|
| [31] |
Calabrese A, Costa R, Levialdi N, et al.Integrating sustainability into strategic decision-making:A fuzzy AHP method for the selection of relevant sustainability issues[J].Technological Forecasting and Social Change, 2019, 139:155-168. doi: 10.1016/j.techfore.2018.11.005
|
| [32] |
Chang D Y.Applications of the extent analysis method on fuzzy AHP[J].European Journal of Operational Research, 1996, 95(3):649-655. doi: 10.1016/0377-2217(95)00300-2
|
| [33] |
Satty T L.The analytic hierarchy process[M].New York:McGraw-Hill Inc, 1980.
|
| [34] |
Cheng Q, Agterberg F P, Ballantyne S B.The separation of geochemical anomalies from background by fractal methods[J].Journal of Geochemical Exploration, 1994, 51(2):109-130. doi: 10.1016/0375-6742(94)90013-2
|
| [35] |
Zuo R, Carranza E J M, Wang J.Spatial analysis and visualization of exploration geochemical data[J].Earth Science Reviews, 2016, 158:9-18. doi: 10.1016/j.earscirev.2016.04.006
|
| [36] |
Zuo R, Wang J.ArcFractal:An ArcGIS add-in for processing geoscience data using fractal/multifractal models[J].Natural Resources Research, 2019, 1:1-10.
|
| [37] |
Nykänen V, Lahti I, Niiranen T, et al.Receiver operating characteristics (ROC) as validation tool for prospectivity models:A magmatic Ni-Cu case study from the Central Lapland Greenstone Belt, Northern Finland[J].Ore Geology Reviews, 2015, 71:853-860. doi: 10.1016/j.oregeorev.2014.09.007
|
| [38] |
Kannan R, Vasanthi V.Machine learning algorithms with ROC curve for predicting and diagnosing the heart disease[M]//Anon.Soft computing and medical bioinformatics.Singapore: Springer, 2019: 63-72.
|
Copyright © 2010Editorial Department of Bulletin of Geological Science and Technology
Supported by:
Beijing Renhe Information Technology Co., Ltd.
DownLoad:
