Assessment of effective parameters on dilution using approximate reasoning methods in longwall mining method, Iran coal mines

Details Assessment of effective parameters on dilution using approximate reasoning methods in longwall mining method, Iran coal mines Assessment of effective parameters on dilution using approximate reasoning methods in longwall mining method, Iran coal mines

2008-05-09

arxiv.org/abs/0805.1288v1

Computer Science

Artificial Intelligence

9 Pages,9 Figures,submitted to :The 21st World Mining Congress &EXPO 2008; 7-11 ;September 2008,;Krakow, Poland

Scientific paper

Approximately more than 90% of all coal production in Iranian underground mines is derived directly longwall mining method. Out of seam dilution is one of the essential problems in these mines. Therefore the dilution can impose the additional cost of mining and milling. As a result, recognition of the effective parameters on the dilution has a remarkable role in industry. In this way, this paper has analyzed the influence of 13 parameters (attributed variables) versus the decision attribute (dilution value), so that using two approximate reasoning methods, namely Rough Set Theory (RST) and Self Organizing Neuro- Fuzzy Inference System (SONFIS) the best rules on our collected data sets has been extracted. The other benefit of later methods is to predict new unknown cases. So, the reduced sets (reducts) by RST have been obtained. Therefore the emerged results by utilizing mentioned methods shows that the high sensitive variables are thickness of layer, length of stope, rate of advance, number of miners, type of advancing.

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