Fuzzy tonnage-average grade model based on extension principle

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SOLTANI MOHAMMADI S.; SOLTANI A.; Sohrabian B.

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Journal: JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES) Year:2019 | Volume:10 | Issue:3 Page(s): 659-666

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Title

Fuzzy tonnage-average grade model based on extension principle

Author(s)

SOLTANI MOHAMMADI S. | SOLTANI A. | Sohrabian B. | Issue Writer Certificate

Keywords

GeostatisticsQ1

Fuzzy Variogram ModelQ1

Decision-MakingQ1

UncertaintyQ1

Abstract

Due to the nature of the geological and mining activities, different input parameters in the grade estimation and mineral resource evaluation are always tainted with uncertainties. It is possible to investigate the uncertainties related to the measurements and parameters of the variogram model using the fuzzy kriging method instead of the kriging method. The fuzzy kriging theory has already been the subject of relatively various research studies but the main weak point in such studies is that the results of the fuzzy estimations are not used in Decision-Making and planning. A very common, but key, tool of Decision-Making for mining engineers is the tonnage-average grade models. Under conditions where measurements or/and variogram model parameters are tainted with uncertainties, the tonnage-average grade model will be uncertain as well. Therefore, it is necessary to use the fuzzy tonnage-grade model instead of the crisp ones, and the next analysis steps and Decision-Makings are done accordingly. In this paper, the computational principles of the fuzzy tonnage-average grade curve and a case study regarding its usage are presented.

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APA: Copy

SOLTANI MOHAMMADI, S., SOLTANI, A., & Sohrabian, B.. (2019). Fuzzy tonnage-average grade model based on extension principle. JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES), 10(3 ), 659-666. SID. https://sid.ir/paper/256393/en

Vancouver: Copy

SOLTANI MOHAMMADI S., SOLTANI A., Sohrabian B.. Fuzzy tonnage-average grade model based on extension principle. JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES)[Internet]. 2019;10(3 ):659-666. Available from: https://sid.ir/paper/256393/en

IEEE: Copy

S. SOLTANI MOHAMMADI, A. SOLTANI, and B. Sohrabian, “Fuzzy tonnage-average grade model based on extension principle,” JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES), vol. 10, no. 3 , pp. 659–666, 2019, [Online]. Available: https://sid.ir/paper/256393/en

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