Abstract
Evaluation of shaft locations in underground mines: Fuzzy multi-objective optimization by ratio analysis with fuzzy cognitive map weights
Highlights
Underground mine openings are excavated from the surface to access an underground ore deposit and to transport and hoist extracted ore to the surface
Integrated approach of fuzzy cognitive map (FCM) and fuzzy multi-objective optimization by ratio analysis (FMOORA) An approach was developed by integrating the cognitive map and multi-objective optimization by ratio analysis (MOORA) methods under a fuzzy environment to be applicable in all cases of decision-making processes, especially for application to mining problem
The integrated approach was exemplified using the data for an underground iron ore mine, consisting of six criteria and fourteen shaft location alternatives
Summary
Underground mine openings are excavated from the surface to access an underground ore deposit and to transport and hoist extracted ore to the surface. Decisions on developments should be carefully made to address the complexity and high costs of underground mining. These decisions influence production operation in the stages (Hartman and Mutmansky, 2002). The vertical shaft is among the most common openings used to access ore deposits located at deep levels. The vertical shaft is employed for ore transportation and service objectives. It is suitable for relatively large, deep, and flat-lying ore deposits when a high production rate is desired
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