Title: Design of a multi-criteria decision making model using fuzzy-AHP for selection of appropriate underground metal mining method

Authors: Bhanu Chander Balusa; Amit Kumar Gorai

Addresses: Department of Mining Engineering, National Institute of Technology, Rourkela-769008, India ' Department of Mining Engineering, National Institute of Technology, Rourkela-769008, India

Abstract: The aim of the current study is to develop a multi-criteria decision making model using fuzzy-analytical hierarchical process (FAHP) for selection of the appropriate underground metal mining method. The model considered eight criteria for evaluating the seven mining methods. A three-level hierarchical structured model is proposed for decision-making analysis. The criteria, sub-criteria, and the mining methods are listed respectively in the first, second, and third level of the hierarchy. The local and global weights for each parameter were determined using the FAHP method. The global weights of the various mining methods were used to determine the ranking of various mining method for a typical ore deposit. The model validation was done using the ore deposit data of two mines in India. It is observed that the adopted mining methods and the corresponding predicted mining methods are same in both the cases.

Keywords: underground metal mining; method selection; multi-criteria decision making; MCDM; fuzzy-AHP.

DOI: 10.1504/IJMME.2018.097425

International Journal of Mining and Mineral Engineering, 2018 Vol.9 No.4, pp.259 - 301

Received: 28 Oct 2017
Accepted: 10 Sep 2018
Published online: 21 Jan 2019 *

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