Fuzzification of continuous-value spatial evidence for mineral prospectivity mapping
Tóm tắt
Từ khóa
Tài liệu tham khảo
Abedi, 2012, Integration of various geophysical data with geological and geochemical data to determine additional drilling for copper exploration, J. Appl. Geophys., 83, 35, 10.1016/j.jappgeo.2012.05.003
Alavi, 1980, Tectonostratigraphic evolution of the Zagrosides of Iran, Geology, 8, 144, 10.1130/0091-7613(1980)8<144:TEOTZO>2.0.CO;2
Alpaydm, 2004
An, 1991, Application of fuzzy set theory for integration of geological, geophysical and remote sensing data, Can. J. Explor. Geophys., 27, 1
Atapour, 2007, The geochemistry of gossans associated with Sarcheshmeh porphyry copper deposit, Rafsanjan, Kerman, Iran: implications for exploration and the environment, J. Geochem. Explor., 93, 47, 10.1016/j.gexplo.2006.07.007
Bayes, 1764, An essay toward solving a problem in the doctrine of chances, Philos. Trans. R. Soc. Lond., 53, 370, 10.1098/rstl.1763.0053
Benitez-Read, 2005, Comparison between a continuous and discrete method for the aggregation and deffuzification stages of a Triga reactor power fuzzy controller, Progr. Nucl. Energy, 46, 309, 10.1016/j.pnucene.2005.03.012
Berberian, 1982, Late Cretaceous and Early Miocene Andean-type plutonic activity in northern Makran and central Iran, J. Geol. Soc. Lond., 139, 605, 10.1144/gsjgs.139.5.0605
Berthold, 2002
Billa, 2004, Predicting gold-rich epithermal and porphyry systems in the central Andes with a continental-scale metallogenic GIS, Ore Geol. Rev., 25, 39, 10.1016/j.oregeorev.2004.01.002
Bishop, 2006
Bonham-Carter, 1994
Bonham-Carter, 1989, Weights of evidence modelling: a new approach to mapping mineral potential, 171
Boomeri, 2009, The Miduk porphyry Cu deposit, Kerman, Iran: A geochemical analysis of the potassic zone including halogen element systematics related to Cu mineralization processes, J. Geochem. Explor., 103, 17, 10.1016/j.gexplo.2009.05.003
Borovec, 1996, Evaluation of the concentrations of trace elements in stream sediments by factor and cluster analysis and the sequential extraction procedure, Sci. Total Environ., 177, 237, 10.1016/0048-9697(95)04901-0
Bragg, 2006
Campos, 2002, Overheated, Cu-bearing magmas in the Zaldívar porphyry-Cu deposit, Northern Chile: geodynamic consequences, 345, 229
Carranza, 2004, Weights of evidence modeling of mineral potential: a case study using small number of prospects, Abra, Philippines, Nat. Resour. Res., 13, 173, 10.1023/B:NARR.0000046919.87758.f5
Carranza, E.J.M., 2008. Geochemical anomaly and mineral prospectivity mapping in GIS. In: Handbook of Exploration and Environmental Geochemistry, vol. 11. Elsevier, Amsterdam.
Carranza, 2010, Improved wildcat modelling of mineral prospectivity, Resour. Geol., 60, 129, 10.1111/j.1751-3928.2010.00121.x
Carranza, 2010, Catchment basin modelling of stream sediment anomalies revisited: incorporation of EDA and fractal analysis, Geochem.: Explor. Environ. Anal., 10, 171
Carranza, 2010, Mapping of anomalies in continuous and discrete fields of stream sediment geochemical landscapes, Geochem.: Explor. Environ., Anal., 10, 171
Carranza, 2011, Analysis and mapping of geochemical anomalies using logratio-transformed stream sediment data with censored values, J. Geochem. Explor., 110, 167, 10.1016/j.gexplo.2011.05.007
Carranza, 2001, Geologically-constrained fuzzy mapping of gold mineralization potential, Baguio district, Philippines, Nat. Resour. Res., 10, 125, 10.1023/A:1011500826411
Carranza, 2002, Where are porphyry copper deposits spatially localized? A case study in Benguet province, Philippines, Nat. Resour. Res., 11, 45, 10.1023/A:1014287720379
Carranza, 2002, Wildcat mapping of gold potential, Baguio district, Philippines, Trans. Inst. Min. Metall. (Sect. B – Appl. Earth Sci.), 111, 100, 10.1179/aes.2002.111.2.100
Carranza, 2008, Knowledge-guided data-driven evidential belief modeling of mineral prospectivity in Cabo de Gata, SE Spain, Int. J. Appl. Earth Obser. Geoinf., 10, 374, 10.1016/j.jag.2008.02.008
Carranza, 2005, Application of data-driven evidential belief functions to prospectivity mapping for aquamarine-bearing pegmatites, Lundazi District, Zambia, Nat. Resour. Res., 14, 47, 10.1007/s11053-005-4678-9
Celikyilmaz, 2009
Chandrajith, 2001, Application of multi-element relationships in stream sediments to mineral exploration: a case study of Walawe Ganga Basin, Sri Lanka, 16, 339
Chen, 2014, Fuzzy estimation for heat flux distribution at the slab continuous casting mold surface, Int. J. Therm. Sci., 83, 80, 10.1016/j.ijthermalsci.2014.04.012
Chen, 2010, Spatial sensitivity analysis of multi-criteria weights in GIS-based land suitability evaluation, Environ. Model. Softw., 25, 1582, 10.1016/j.envsoft.2010.06.001
Chen, 2011, Geochronology and geochemistry of the Wunugetushan porphyry Cu–Mo deposit in NE china, and their geological significance, Ore Geol. Rev., 43, 92, 10.1016/j.oregeorev.2011.08.007
Cheng, 1995, The perimeter-area fractal model and its application to geology, Math. Geol., 27, 69, 10.1007/BF02083568
Cheng, 1999, Multifractality and spatial statistics, Comput. Geosci., 25, 949, 10.1016/S0098-3004(99)00060-6
Cheng, 2007, Mapping singularities with stream sediment geochemical data for prediction of undiscovered mineral deposits in Gejiu, Yunnan Province, China, Ore Geol. Rev., 32, 314, 10.1016/j.oregeorev.2006.10.002
Cheng, 1999, Fuzzy weights of evidence and its application in mineral potential mapping, Nat. Resour. Res., 8, 27, 10.1023/A:1021677510649
Cheng, 2009, Singularity analysis of ore-mineral and toxic trace elements in stream sediments, Comput. Geosci., 35, 34, 10.1016/j.cageo.2008.02.034
Cheng, 1994, The separation of geochemical anomalies from background by fractal methods, J. Geochem. Explor., 51, 109, 10.1016/0375-6742(94)90013-2
Cheng, 1996, A spatial analysis method for geochemical anomaly separation, J. Geochem. Explor., 56, 183, 10.1016/S0375-6742(96)00035-0
Cheng, 2010, Density/area power law models for separating multi-scale anomalies of ore and toxic elements in stream sediments in Gejiu mineral district, Yunnan Province, China, Biogeosciences, 7, 3019, 10.5194/bg-7-3019-2010
Chico-Olmo, 2002, Development of a decision support system based on remote sensing and GIS techniques for gold-rich area identification in SE Spain, Int. J. Remote Sens., 23, 4801, 10.1080/01431160110104656
Chung, 1993, The representation of geoscience information for data integration, Nonrenew. Resour., 2, 122, 10.1007/BF02272809
Cox, 1989
D'Ercole, 2000, Using fuzzy logic in a Geographic Information System environment to enhance conceptually based prospectivity analysis of Mississippi Valley-type ineralization, Aust. J. Earth Sci., 47, 913, 10.1046/j.1440-0952.2000.00821.x
De Araújo, 2002, Multicriteria geologic data analysis for mineral favorability mapping: application to a metal sulphide mineralized area, Ribeira Valley metallogenic province, Brazil, Nat. Resour. Res., 11, 29, 10.1023/A:1014235703541
Deng, 2009, Self-similar fractal analysis of gold mineralization of Dayingezhuang disseminated-veinlet deposit in Jiaodong gold province, China, J. Geochem. Explor., 102, 95, 10.1016/j.gexplo.2009.03.003
Deng, 2010, Delineation and explanation of geochemical anomalies using fractal models in the Heqing area, Yunnan Province, China, J. Geochem. Explor., 105, 95, 10.1016/j.gexplo.2010.04.005
Deng, 2011, A multifractal analysis of mineralization characteristics of the Dayingezhuang disseminated-veinlet gold deposit in the Jiaodong gold province of China, Ore Geol. Rev., 40, 54, 10.1016/j.oregeorev.2011.05.001
Egozcue, 2003, Isometric logratio transformations for compositional data analysis, Math. Geol., 35, 279, 10.1023/A:1023818214614
Fairbrother, 2007, Framework for metals risk assessment, Ecotoxicol. Environ. Saf., 68, 145, 10.1016/j.ecoenv.2007.03.015
Feizizadeh, 2014, A GIS based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis, Comput. Geosci., 64, 81, 10.1016/j.cageo.2013.11.009
Filzmoser, 2009, Univariate statistical analysis of environmental (compositional) data: problems and possibilities, Sci. Total Environ., 407, 6100, 10.1016/j.scitotenv.2009.08.008
Fink, 2007
Ford, 2008, Evaluating geological complexity and complexity gradients as controls on copper mineralization, Mt Isa Inlier, Aust. J. Earth Sci., 55, 13, 10.1080/08120090701581364
González-Álvarez, 2010, Hydrothermal Ni prospectivity analysis of Tasmania, Australia, Ore Geol. Rev., 38, 168, 10.1016/j.oregeorev.2010.04.003
Good, 1950
Grabeljsek, 1956
Guillén-Flores, 2013, A reset observer with discrete/continuous measurements for a class of fuzzy nonlinear systems, J. Frankl. Inst., 350, 1974, 10.1016/j.jfranklin.2013.04.023
Guillou-Frottier, 2003, The development and fracturing of plutonic apexes: implications for porphyry ore deposits, Earth Planet. Sci. Lett., 214, 341, 10.1016/S0012-821X(03)00366-2
Guo, 2001, Fuzzy DEA: a perceptual evaluation method, Fuzzy Sets Syst., 119, 149, 10.1016/S0165-0114(99)00106-2
Gupta, 2013, Expected value multi-objective portfolio rebalancing model with fuzzy parameters, Insur.: Math. Econ., 52, 190
Harris, 2001, Application of GIS processing techniques for producing mineral prospectivity maps – a case study: mesothermal Au in the Swayze Greenstone Belt, Ontario, Canada, Nat. Resour. Res., 10, 91, 10.1023/A:1011548709573
Heilpern, 1992, The expected value of a fuzzy number, Fuzzy Sets Syst., 47, 81, 10.1016/0165-0114(92)90062-9
Heilpern, 1997, Representation and application of fuzzy numbers, Fuzzy Sets Syst., 91, 259, 10.1016/S0165-0114(97)00146-2
Helvoort, 2005, Sequential factor analysis as a new approach to multivariate analysis of heterogeneous geochemical datasets: an application to a bulk chemical characterization of fluvial deposits (Rhine–Meuse delta, The Netherlands), Appl. Geochem., 20, 2233, 10.1016/j.apgeochem.2005.08.009
Hezarkhani, 2006, Mineralogy and fluid inclusion investigations in the Reagan Porphyry System, Iran, the path to an uneconomic porphyry copper deposit, J. Asian Earth Sci., 27, 598, 10.1016/j.jseaes.2005.06.003
Hezarkhani, 2006, Petrology of the intrusive rocks within the Sungun Porphyry Copper Deposit, Azerbaijan, Iran, J. Asian Earth Sci., 27, 326, 10.1016/j.jseaes.2005.04.005
Hezarkhani, 2009, Hydrothermal fluid geochemistry at the Chah-Firuzeh porphyry copper deposit, Iran: evidence from fluid inclusions, J. Geochem. Explor., 101, 254, 10.1016/j.gexplo.2008.09.002
Jaccard, 1908, Nouvelles recherché sur la distribution florale, Bull. Soc. Vaud. Sci. Nat., 44, 223
Kaiser, 1958, The varimax criteria for analytical rotation in factor analysis, Psychometrika, 23, 187, 10.1007/BF02289233
Knox-Robinson, 2000, Vectorial fuzzy logic: a novel technique for enhanced mineral prospectivity mapping with reference to the orogenic gold mineralization potential of the Kalgoorlie Terrane, Western Australia, Aust. J. Earth Sci., 47, 929, 10.1046/j.1440-0952.2000.00816.x
Kurowicka, D., Cooke, R., 2006. Uncertainty Analysis with High Dimensional Dependence Modelling. Delft University of Technology, The Netherlands. John Wiley & Sons Ltd.
Lisitsin, 2013, Regional prospectivity analysis for hydrothermal-remobilised nickel mineral systems in western Victoria, Australia, Ore Geol. Rev., 52, 100, 10.1016/j.oregeorev.2012.04.001
Liu, 2013, Some geometric aggregation operators based on interval intuitionistic uncertain linguistic variables and their application to group decision making, Appl. Math. Model., 37, 2430, 10.1016/j.apm.2012.05.032
Lundmark, 2005, The geology and Re–Os geochronology of the Palaeoproterozoic Vaikijaur Cu–Au–(Mo) porphyry-style deposit in the Jokkmokk granitoid, northern Sweden, Miner. Depos., 40, 396, 10.1007/s00126-005-0003-0
Lusty, 2012, Reconnaissance-scale prospectivity analysis for gold mineralisation in the Southern Uplands-Down-Longford Terrane, Northern Ireland, Nat. Resour. Res., 21, 359, 10.1007/s11053-012-9183-3
Luo, 1990, Statistical mineral prediction without defining a trainin area, Math. Geol., 22, 253, 10.1007/BF00889888
Luo, 2003, Data-driven fuzzy analysis in quantitative mineral resource assessment, Comput. Geosci., 29, 3, 10.1016/S0098-3004(02)00078-X
Mandelbrot, 1977, 365
Mandelbrot, 1983
Mandelbrot, 1984, Fractal character of fracture surfaces of metals, Nature, 308, 721, 10.1038/308721a0
Markwitz, 2010, Magmatic nickel sulfide mineralization in Zimbabwe: Review of deposits and development of exploration criteria for prospectivity analysis, Ore Geol. Rev., 38, 139, 10.1016/j.oregeorev.2010.07.004
McCuaig, 2010, Translating the mineral systems approach into an effective exploration targeting system, Ore Geol. Rev., 38, 128, 10.1016/j.oregeorev.2010.05.008
Micheli-Tzanakou, 1999
Moon, 1990, Integration of geophysical and geological data using evidential belief function, IEEE Trans. Geosci. Remote Sens., 28, 711, 10.1109/TGRS.1990.572988
Moreira, 2003, Spatial analysis techniques applied to mineral prospecting: an evaluation in the Poços de Caldas Plateau, Rev. Bras. Geosci., 33, S183, 10.25249/0375-7536.200333S2183190
Mosher, 2010, Expected-value techniques for Monte Carlo modeling of well logging problems, Nucl. Instrum. Methods Phys. Res. A, 613, 334, 10.1016/j.nima.2009.11.067
Mun, 2006
Narmatha Banu, 2012, Multi-objective GA with fuzzy decision making for security enhancement in power system, Appl. Soft Comput., 12, 2756, 10.1016/j.asoc.2012.03.057
Nykänen, 2008, Reconnaissance scale conceptual fuzzy-logic prospectivity modeling for iron oxide copper–gold deposits in the northern Fennoscandian Shield, Finland, Aust. J. Earth Sci., 55, 25, 10.1080/08120090701581372
Pan, 1995, Large-scale mineral potential estimation for blind precious metal ore bodies, Nonrenew. Resour, 4, 187, 10.1007/BF02259039
Peytcheva, 2009, U-Pb dating, Hf-isotope characteristics and trace-REE-patterns of zircons from Medet porphyry copper deposit, Bulgaria: implications for timing, duration and sources of ore-bearing magmatism, Mineral. Petrol., 96, 19, 10.1007/s00710-009-0042-9
Pirajno, 2010, Intracontinental strike-slip faults, associated magmatism, mineral systems and mantle dynamics: examples from NW China and Altay-Sayan (Siberia), J. Geodyn., 50, 325, 10.1016/j.jog.2010.01.018
Porwal, 2003, Knowledge-driven and data-driven fuzzy models for predictive mineral potential mapping, Nat. Resour. Res., 12, 1, 10.1023/A:1022693220894
Porwal, 2004, A hybrid neuro-fuzzy model for mineral potential mapping, Math. Geol., 36, 803, 10.1023/B:MATG.0000041180.34176.65
Porwal, 2006, A hybrid fuzzy weights-of-evidence model for mineral potential mapping, Nat. Resour. Res., 15, 1, 10.1007/s11053-006-9012-7
Qu, 2007, Characteristics and genesis of Gangdese porphyry copper deposits in the southern Tibetan Plateau: preliminary geochemical and geochronological results, Ore Geol. Rev., 31, 205, 10.1016/j.oregeorev.2005.03.012
Ray, 2012
Richards, 2001, Geologic evolution of the Escondida area, northern Chile: a model for spatial and temporal localization of porphyry Cu mineralization, Econ. Geol., 96, 271, 10.2113/gsecongeo.96.2.271
Rogge, 2006, Application of data integration for shear hosted Au potential modeling: Lynn Lake Greenstone Belt, Northwestern Manitoba, Canada, 191
Rubinstein, 1981
Runge, 2011, Which uncertainty? Using expert elicitation and expected value of information to design an adaptive program, Biol. Conser., 144, 1214, 10.1016/j.biocon.2010.12.020
Sakawa, 1999, An interactive fuzzy satisficing method for multiobjective nonconvex programming problems through floating point genetic algorithms, Eur. J. Oper. Res., 117, 113, 10.1016/S0377-2217(98)00128-3
Sari, 2009, Stochastic modeling of accident risks associated with an underground coal mine in Turkey, Saf. Sci., 47, 78, 10.1016/j.ssci.2007.12.004
Sillitoe, 1972, A plate tectonic model for the origin of porphyry copper deposits, Econ. Geol., 67, 184, 10.2113/gsecongeo.67.2.184
Sillitoe, 2003
Silva, 2014, Continuous cooperation: a proposal using a fuzzy multicriteria sorting method, Int. J. Prod. Econ., 151, 67, 10.1016/j.ijpe.2014.01.022
Storti, 2003
Tangestani, 2002, Porphyry copper alteration mapping in the Meiduk area, Iran, Int. J. Remote Sens., 23, 4815, 10.1080/01431160110115564
Tangestani, 2002, The use of Dempster–Shafer model and GIS in integration of geoscientific data for porphyry copper potential mapping, north of Shahr-e-Babak, Iran, Int. J. Appl. Earth Observ. Geoinf., 4, 65, 10.1016/S0303-2434(02)00008-9
Tangestani, 2003, Mapping porphyry copper potential with a fuzzy model, northern Shahr-e-Babak, Iran, Aust. J. Earth Sci., 50, 311, 10.1046/j.1440-0952.2003.00991.x
Theodoridis, 2006
Treiblmaier, 2010, Exploratory factor analysis revisited: how robust methods support the detection of hidden multivariate data structures in IS research, Inf. Manag., 47, 197, 10.1016/j.im.2010.02.002
Trillas, 2008, On the representation of fuzzy rules, Int. J. Approx. Reason., 48, 583, 10.1016/j.ijar.2007.11.002
Van Loon, 2002, The complexity of simple geology, Earth—Sci. Rev., 59, 287, 10.1016/S0921-8181(02)00164-9
Wang, 2011, Fuzzy data envelopment analysis: a fuzzy expected value approach, Expert Syst. Appl., 38, 11678, 10.1016/j.eswa.2011.03.049
Wang, 2007, On the direct decomposability of pseudo-t-norms, t-norms and implication operators on product lattices, Fuzzy Sets Syst., 158, 2494, 10.1016/j.fss.2007.06.011
Wang, 2008, Programming method of multi-criteria decision-making based on intuitionistic fuzzy number with incomplete certain information, Control Decis., 23, 145
Wang, 2009, Multi-criteria decision-making method with incomplete certain information based on intuitionistic fuzzy number, Control Decis., 24, 226
Wang, 2009, Aggregation operators on intuitionistic trapezoidal fuzzy number and its application to multicriteria decision making problems, J. Syst. Eng. Electron., 20, 321
Wang, 2011, Mineral potential targeting and resource assessment based on 3D geological modeling in Luanchuan region, China, Comput. Geosci., 37, 1976, 10.1016/j.cageo.2011.05.007
Wang, 2011, Fractal analysis of the ore-forming process in a skarn deposit: a case study in the Shizishan area, China, 89
Wikipedia, 2014. 〈http://www.en.wikipedia.org/wiki/Expected_value〉.
Xie, 2014, Process Takagi–Sugeno model: a novel approach for handling continuous input and output functions and its application to time series prediction, Knowl.-Based Syst., 63, 46, 10.1016/j.knosys.2014.03.012
Xue, 2008, The expected value of a function of a fuzzy variable with a continuous membership function, 55, 1215
Xu, 2007, Models for multiple attribute decision-making with intuitionistic fuzzy information, Int. J. Uncertain. Fuzziness Knowl.-Based Syst., 15, 285, 10.1142/S0218488507004686
Xu, 2007, Intuitionistic fuzzy aggregation operators, IEEE Trans. Fuzzy Syst., 15, 1179, 10.1109/TFUZZ.2006.890678
Xu, 2011, Approaches to multiple attribute group decision making based on intuitionistic fuzzy power aggregation operators, Knowl.-Based Syst., 24, 749, 10.1016/j.knosys.2011.01.011
Yaffee, 2000
Ye, 2011, Expected value method for intuitionistic trapezoidal fuzzy multicriteria decision-making problems, Expert Syst. Appl., San Diego, CA,USA, 38, 11730, 10.1016/j.eswa.2011.03.059
Yousefi, 2013, Weighted drainage catchment basin mapping of stream sediment geochemical anomalies for mineral potential mapping, J. Geochem. Explor., 128, 88, 10.1016/j.gexplo.2013.01.013
Yousefi, 2012, Geochemical mineralization probability index (GMPI): a new approach to generate enhanced stream sediment geochemical evidential map for increasing probability of success in mineral potential mapping, J. Geochem. Explor., 115, 24, 10.1016/j.gexplo.2012.02.002
Yousefi, 2014, Application of staged factor analysis and logistic function to create a fuzzy stream sediment geochemical evidence layer for mineral prospectivity mapping, Geochem.: Explor. Environ. Anal., 14, 45
Yule, 1912, On the methods of measuring association between two attributes, J. R. Stat. Soc., 75, 579, 10.2307/2340126
Zhao, 2011, Mapping complexity of spatial distribution of faults using fractal and multifractal models: vectoring towards exploration targets, Comput. Geosci., 37, 1958, 10.1016/j.cageo.2011.04.007
Zuo, 2011, Decomposing of mixed pattern of arsenic using fractal model in Gangdese belt, Tibet, China, Appl. Geochem., 26, S271, 10.1016/j.apgeochem.2011.03.122
Zuo, 2011, Identifying geochemical anomalies associated with Cu and PbZn skarn mineralization using principal component analysis and spectrum–area fractal modeling in the Gangdese Belt, Tibet (China), J. Geochem. Explor., 111, 13, 10.1016/j.gexplo.2011.06.012
Zuo, 2011, Regional exploration targeting model for Gangdese porphyry copper deposits, Resource Geology, 61, 296, 10.1111/j.1751-3928.2011.00166.x
Zuo, 2009, Fractal characterization of the spatial distribution of geological point processes, Int. J. Appl. Earth Obser. Geoinf., 11, 394, 10.1016/j.jag.2009.07.001
Zuo, 2008, Mapping singularities: a technique to identify potential Cu mineral deposits using sediment geochemical data, an example for Tibet, west China, Miner. Mag., 72, 531, 10.1180/minmag.2008.072.1.531
Zuo, 2009, Application of singularity mapping technique to identify local anomalies using stream sediment geochemical data, a case study from Gangdese, Tibet, western China, J. Geochem. Explor., 101, 225, 10.1016/j.gexplo.2008.08.003
Zuo, 2009, Application fractal and multifractal methods to mapping prospectivity for metamorphosed sedimentary iron deposits using stream sediment geochemical data in eastern Hebei province, China, Geochim. Cosmochim. Acta, 73