Mineral Potential Mapping Via TOPSIS with Hybrid AHP–Shannon Entropy Weighting of Evidence: A Case Study for Porphyry-Cu, Farmahin Area, Markazi Province, Iran

Mineral Potential ◽

Porphyry Cu ◽

Fuzzy logic mineral potential mapping for copper exploration using multi-disciplinary geo-datasets, a case study in seridune deposit, Iran

Earth Science Informatics ◽

10.1007/s12145-015-0246-y ◽

2016 ◽

Vol 9 (2) ◽

pp. 167-181 ◽

Cited By ~ 12

Author(s):

Seyed Bagher Mostafavi Kashani ◽

Maysam Abedi ◽

Gholam-Hossain Norouzi

Keyword(s):

Fuzzy Logic ◽

Mineral Potential ◽

New Approach in Application of the AHP–Fuzzy TOPSIS Method in Mineral Potential Mapping of the Natural Bitumen (Gilsonite): A Case Study from the Gilan-e-Gharb Block, the Kermanshah, West of Iran

American Journal of Engineering and Applied Sciences ◽

10.3844/ajeassp.2020.96.110 ◽

2020 ◽

Vol 13 (1) ◽

pp. 96-110 ◽

Cited By ~ 1

Author(s):

Elham Rahimi ◽

Younes Shekarian ◽

Salman Mastri Farahani ◽

G.h. Reza Asgari ◽

Ali Nakini

Keyword(s):

Fuzzy Topsis ◽

Natural Bitumen ◽

Topsis Method ◽

New Approach ◽

Mineral Potential ◽

Practical Implementation of Random Forest-Based Mineral Potential Mapping for Porphyry Cu–Au Mineralization in the Eastern Lachlan Orogen, NSW, Australia

Natural Resources Research ◽

10.1007/s11053-019-09598-y ◽

2019 ◽

Vol 29 (1) ◽

pp. 267-283 ◽

Cited By ~ 1

Author(s):

Arianne Ford

Keyword(s):

Random Forest ◽

Practical Implementation ◽

Mineral Potential ◽

Porphyry Cu ◽

Lachlan Orogen ◽

Mineral potential mapping in frontier regions: A Mongolian case study

Ore Geology Reviews ◽

10.1016/j.oregeorev.2012.11.002 ◽

2013 ◽

Vol 51 ◽

pp. 15-26 ◽

Cited By ~ 18

Author(s):

Arianne Ford ◽

Craig J.R. Hart

Keyword(s):

Mineral Potential ◽

Artificial neural networks as a tool for mineral potential mapping with GIS

International Journal of Remote Sensing ◽

10.1080/0143116021000031791 ◽

2003 ◽

Vol 24 (5) ◽

pp. 1151-1156 ◽

Cited By ~ 39

Author(s):

J. P. Rigol-Sanchez ◽

M. Chica-Olmo ◽

F. Abarca-Hernandez

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Mineral Potential ◽

Potential Mapping ◽

Artificial Neural

The use of evidential belief functions for mineral potential mapping in the Nanling belt, South China

Frontiers of Earth Science ◽

10.1007/s11707-014-0465-4 ◽

2014 ◽

Vol 9 (2) ◽

pp. 342-354 ◽

Cited By ~ 12

Author(s):

Yue Liu ◽

Qiuming Cheng ◽

Qinglin Xia ◽

Xinqing Wang

Keyword(s):

South China ◽

Belief Functions ◽

Mineral Potential ◽

Potential Mapping ◽

Evidential Belief Functions

Predictive Expert Models for Mineral Potential Mapping

Encyclopedia of Information Science and Technology, Third Edition ◽

10.4018/978-1-4666-5888-2.ch310 ◽

2015 ◽

pp. 3161-3168

Author(s):

Adamu M. Ibrahim ◽

Brandon Bennett ◽

Claudio E.C. Campelo

Keyword(s):

Mineral Potential ◽

Potential Mapping ◽

Expert Models

Mineral Potential Mapping Using a Conjugate Gradient Logistic Regression Model

Natural Resources Research ◽

10.1007/s11053-019-09509-1 ◽

2019 ◽

Vol 29 (1) ◽

pp. 173-188 ◽

Cited By ~ 5

Author(s):

Nan Lin ◽

Yongliang Chen ◽

Laijun Lu

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Conjugate Gradient ◽

Logistic Regression Model ◽

Mineral Potential ◽

2010 The 2nd Conference on Environmental Science and Information Application Technology ◽

Mineral potential mapping based on GIS technology and fractal method

10.1109/esiat.2010.5567314 ◽

2010 ◽

Author(s):

Yingping Lei ◽

Qin Gan ◽

Yangsong Du ◽

Yuqi Liang ◽

Gongwen Wang ◽

...

Keyword(s):

Gis Technology ◽

Fractal Method ◽

Mineral Potential ◽

Probabilistic analysis for regional mineral potential mapping with GIS for sedimentary ore deposits in the Kangwondo Area, Korea

Mineral Deposit Research: Meeting the Global Challenge ◽

10.1007/3-540-27946-6_374 ◽

2005 ◽

pp. 1473-1474

Author(s):

Kim In Joon ◽

Lee Jae Ho ◽

Lee Sa Ro ◽

Kim Yu Dong

Keyword(s):

Probabilistic Analysis ◽

Ore Deposits ◽

Mineral Potential ◽