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Alunite processing method selection using the AHP and TOPSIS approaches under fuzzy environment 被引量:3
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作者 Alizadeh Shahab Salari Rad Mohammad Mehdi Bazzazi Abbas Aghajani 《International Journal of Mining Science and Technology》 SCIE EI CSCD 2016年第6期1017-1023,共7页
Alunite is the most important non bauxite resource for alumina. Various methods have been proposed and patented for processing alunite, but none has been performed at industrial scale and no technical,operational and ... Alunite is the most important non bauxite resource for alumina. Various methods have been proposed and patented for processing alunite, but none has been performed at industrial scale and no technical,operational and economic data is available to evaluate methods. In addition, selecting the right approach for alunite beneficiation, requires introducing a wide range of criteria and careful analysis of alternatives.In this research, after studying the existing processes, 13 methods were considered and evaluated by 14 technical, economic and environmental analyzing criteria. Due to multiplicity of processing methods and attributes, in this paper, Multi Attribute Decision Making methods were employed to examine the appropriateness of choices. The Delphi Analytical Hierarchy Process(DAHP) was used for weighting selection criteria and Fuzzy TOPSIS approach was used to determine the most profitable candidates. Among 13 studied methods, Spanish, Svoronos and Hazan methods were respectively recognized to be the best choices. 展开更多
关键词 Alunite Mineral processing methods Multi Attribute decision making Delphi analytical Hierarchy Process (DAHP)Fuzzy TOPSIS
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Developing a mathematical assessment model for blasting patterns management: Sungun copper mine 被引量:9
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作者 M.Yari M.Monjezi +1 位作者 R.Bagherpour S.Jamali 《Journal of Central South University》 SCIE EI CAS 2014年第11期4344-4351,共8页
Blasting is one of the most important operations in the mining projects that has effective role in the whole operation physically and economically. Unsuitable blasting pattern may lead to unwanted events such as poor ... Blasting is one of the most important operations in the mining projects that has effective role in the whole operation physically and economically. Unsuitable blasting pattern may lead to unwanted events such as poor fragmentation, back break and fly rock. Multi attribute decision making(MADM) can be useful method for selecting the most appropriate blasting pattern among previously performed patterns. In this work, initially, from various already performed patterns, efficient and inefficient patterns are determined using data envelopment analysis(DEA). In the second step, after weighting impressive attributes using experts' opinion, elimination Et choice translating reality(ELECTRE) was used for ranking the efficient patterns and recognizing the most appropriate pattern in the Sungun Copper Mine, Iran. According to the obtained results, blasting pattern with the hole diameter of 15.24 cm, burden of 3 m, spacing of 4 m and stemming of 3.2 m has selected as the best pattern and has selected for future operation. 展开更多
关键词 expert system analytic hierarchy process(AHP) multi-attribute decision making(MADM) elimination Et choice translating reality(ELECTRE) data envelopment analysis(DEA) blasting pattern
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