The application of the analytic hierarchy process AHP and Yager s method in underground mining method selection problem

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Underground mining method selection (UMMS) is one of the most important decisions in mining engineering. Choosing a suitable underground mining method to carry out extraction from a mineral deposit is very important for all stage of mining operations. In practice, UMMS is one of the multiple attribute decision-making (MADM) problems and mining engineers have some difficulties in making the right decision in the multiple criteria environment. In this paper, the following two similar MADM methods are described: analytic hierarchy process and fuzzy multiple attribute decision-making are applied to select the optimal underground mining method for lignite mine located in Istanbul. At the end of decision-making process, sensitivity analysis process is applied for each method.