2019
DOI: 10.1016/j.eswa.2018.12.001
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Multi-criteria decision making for the choice problem in mining and mineral processing: Applications and trends

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Cited by 143 publications
(86 citation statements)
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References 132 publications
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“…Then, it decreases to 60.42% as the current density continues to increase to 30.22 mA/cm 2 . The current density is related to the amount of dissolved iron ions and the formation of Fe(OH) 3 , which determines the COD removal efficiency [20]. It can also affect the cell voltage through various overpotentials, which may be conducive to the removal efficiency of the COD.…”
Section: Effect Of Ec Parameters On Cod Removal Rate Of Mixed Wastewatermentioning
confidence: 99%
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“…Then, it decreases to 60.42% as the current density continues to increase to 30.22 mA/cm 2 . The current density is related to the amount of dissolved iron ions and the formation of Fe(OH) 3 , which determines the COD removal efficiency [20]. It can also affect the cell voltage through various overpotentials, which may be conducive to the removal efficiency of the COD.…”
Section: Effect Of Ec Parameters On Cod Removal Rate Of Mixed Wastewatermentioning
confidence: 99%
“…However, these techniques possess such disadvantages as inefficiency in COD removal, extreme operating conditions, high operation cost, huge instrument investment, etc. It is worth noting that coagulation-flocculation, the most common technique in beneficiation plants because of its economy, usually has a relative low COD removal rate of only 35% [3]. Electrocoagulation (EC) has become widely used as a wastewater treatment technology in the past decade and has exhibited a satisfactory removal of COD in diverse fields, such as in textiles [4], the food industry [5], dairying [6], brackish water [7], and potable water [8].…”
Section: Introductionmentioning
confidence: 99%
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“…The pair-wise comparison matrix is multiplied with the row average matrix to find out the weighted consistency of the alternatives, then all the elements of the weighted consistency matrix [32] is divided by their respective priority vector to find out the consistency of each alternatives. Then finding the averages of all the consistency to find out the average consistency λmax.…”
Section: Methodsmentioning
confidence: 99%
“…Keeney, Raiffa [62], Dyer, and Sarin [63] developed the multi-attribute preference function theory. Algorithmic thinking and model building in MCDM provides a contemporary, and one of the most attractive cross-disciplinary research approaches in science and Operations Research for explaining certain kinds of human behavior and decision making [64][65][66]. Zionts [67] focused on the applications of MCDM and started popularizing the acronym "MCDM".…”
mentioning
confidence: 99%