RANKING OPEN-PIT MINES USING TYpe-1 CRITERION INTERVAL EXTENSION IN EDAS++ AS A COMPARATIVE MCDM METHOD
Праштало, Жељко
Стјепановић, Павле
Ћорлука, Стеван
Штилић, Анђелка
Due to its wide application, multi-criteria decision-making has easily found its way to the mining industry as well. Mining is particularly interesting from the multi-criteria analysis aspect, as mining projects require analyzing numerous factors affecting the exploitation process. However, multi-criteria problems are among the poorly structured decision-making models, given they take place in stochastic conditions. This primarily refers to the number of criteria and the complexity of their mutual relationships, which can be characterized by a complete contradiction, and the methodologically diverse space for determining preferences or weight factors that significantly affect decision-making results. In this paper, the use of EDAS++, normalized matrix data values, and interval criteria, presented through a mathematical model and example, allows ranking in conditions where some of the criteria have an optimal value interval of attributes that are equally relevant and therefore invariant with respect to decision. EDAS++ was used as a comparative method in analyzing open-pit limestone mines to obtain the broadest possible range of ranking methods while working on a doctoral dissertation entitled "Decision-making in case of different mining project solutions by comparative single and multi-criteria modeling."
engleski
2022
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LIMESTONE, OPEN-PIT LIMESTONE MINE, EXPLOITABLE MINERAL RAW MATERIAL, SUPPLY CHAIN, MULTI-CRITERIA DECISION-MAKING