2017
DOI: 10.1007/s11053-017-9338-3
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Mineral Potential Mapping Via TOPSIS with Hybrid AHP–Shannon Entropy Weighting of Evidence: A Case Study for Porphyry-Cu, Farmahin Area, Markazi Province, Iran

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Cited by 38 publications
(17 citation statements)
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“…The integration of AHP and TOPSIS in a fuzzy environment has not been studied in the field of mineral prospectivity modeling in the initial exploration of the natural bitumen deposits. However, there have been several studies on implementing these methods and their combination for exploration of ore deposits such as copper, gold, iron, etc., (Pazand and Hezarkhani, 2015;Asadi et al, 2016;Feizi et al, 2017a;2017b). This paper presents a new technique of combining the proposed methods using MPM in a fuzzy environment and examines this method in this case study.…”
Section: Final Sorting Using Mcdm For Ftopsis Rankingmentioning
confidence: 99%
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“…The integration of AHP and TOPSIS in a fuzzy environment has not been studied in the field of mineral prospectivity modeling in the initial exploration of the natural bitumen deposits. However, there have been several studies on implementing these methods and their combination for exploration of ore deposits such as copper, gold, iron, etc., (Pazand and Hezarkhani, 2015;Asadi et al, 2016;Feizi et al, 2017a;2017b). This paper presents a new technique of combining the proposed methods using MPM in a fuzzy environment and examines this method in this case study.…”
Section: Final Sorting Using Mcdm For Ftopsis Rankingmentioning
confidence: 99%
“…Then, the decision-makers calculate appropriate rankings based on the PIS and NIS for alternative locations (i.e., A+ and A). Consequently, the best alternative can be identified as the one with the shortest distance to PIS and the longest distance to NIS (Zyoud et al, 2016;Feizi et al, 2017b). Non-renewable resource exploration strategies have rapidly changed and innovative data processing and data management technologies have grown increasingly (Zyoud et al, 2016).…”
Section: Applying Ahp Techniquementioning
confidence: 99%
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“…Secondly, the paper determines criteria weights integrating subjective and objective weighting methods. The combined weighting has been applied in decision making literature [4][5][6], however it has never been applied regarding the project evaluation. Subjective weighting leans on decision maker's judgment, while objective weighting leans on strict mathematical calculations performed over ratings of alternatives.…”
Section: Introductionmentioning
confidence: 99%