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

New Approach ◽

Mineral Potential ◽

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 ◽

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

Journal of Geochemical Exploration ◽

10.1016/j.gexplo.2012.02.002 ◽

2012 ◽

Vol 115 ◽

pp. 24-35 ◽

Cited By ~ 98

Author(s):

Mahyar Yousefi ◽

Abolghasem Kamkar-Rouhani ◽

Emmanuel John M. Carranza

Keyword(s):

Stream Sediment ◽

New Approach ◽

Mineral Potential ◽

Probability Of Success ◽

Potential Mapping ◽

Probability Index

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

Natural Resources Research ◽

10.1007/s11053-017-9338-3 ◽

2017 ◽

Vol 26 (4) ◽

pp. 553-570 ◽

Cited By ~ 11

Author(s):

Faranak Feizi ◽

Amirabbas Karbalaei-Ramezanali ◽

Hosein Tusi

Keyword(s):

Shannon Entropy ◽

Mineral Potential ◽

Porphyry Cu ◽

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 ◽

Suppliers Selection Using Fuzzy AHP and Fuzzy TOPSIS Method—A Case Study of a Bearing Manufacturing Company

Communication and Intelligent Systems - Lecture Notes in Networks and Systems ◽

10.1007/978-981-16-1089-9_23 ◽

2021 ◽

pp. 275-288

Author(s):

Ramesh Karwal ◽

Pradeep Kumar ◽

Manish Bhandari ◽

M. L. Mittal

Keyword(s):

Fuzzy Ahp ◽

Fuzzy Topsis ◽

Topsis Method ◽

Manufacturing Company

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 ◽