A HIERARCHICAL PREFERENCE VOTING SYSTEM FOR MINING METHOD SELECTION PROBLEM

作者：Nourali Hamidreza; Nourali Saeid; Ataei Mohammad^*; Imanipour Narges

来源：Archives of Mining Sciences, 2012, 57(4): 1057-1070.

DOI：10.2478/v10267-012-0070-x

• Mining Method Selection
• Multi Attribute Decision Making
• Preference Voting System
• Data Envelopment Analysis

To apply decision making theory for Mining Method Selection (MMS) problem, researchers have faced two difficulties in recent years: (i) calculation of relative weight for each criterion, (ii) uncertainty in judgment for decision makers. In order to avoid these difficulties, we apply a Hierarchical Preference Voting System (HPVS) for MMS problem that uses a Data Envelopment Analysis (DEA) model to produce weights associated with each ranking place. The presented method solves the problem in two stages. In the first stage, weights of criteria are calculated and at the second stage, alternatives are ranked with respect to all criteria. A simple case study has also been presented to illustrate the competence of this method. The results show that this approach reduces some difficulties of previous methods and could be applied simply in group decision making with too many decision makers and criteria. Also, regarding to application of a mathematical model, subjectivity is reduced and outcomes are more reliable.

• 出版日期2012