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Mining-method selection (MMS) is one of the most critical and complex decision making processes in mine planning. Therefore, it has been a subject of several studies for many years culminating with the development of different systems. However, there is still more to be done to improve and/or create more efficient systems and deal with the complexity caused by many influencing factors. This study introduces the application of the entropy method for feature selection, i.e., select the most critical factors in MMS. The entropy method is applied to assess the relative importance of the factors influencing MMS by estimating their objective weights to then select the most critical. Based on the results, ore strength, host-rock strength, thickness, shape, dip, ore uniformity, mining costs, and dilution were identified as the most critical factors. This study adopts the entropy method in the data preparation step (i.e., feature selection) for developing a novel-MMS system that employs recommendation system technologies. The most critical factors will be used as main variables to create the dataset to serve as a basis for developing the model for the novel-MMS system. This study is a key step to optimize the performance of the model.
Wydawca
Czasopismo
Rocznik
Tom
Strony
296--308
Opis fizyczny
Bibliogr. 30 poz.
Twórcy
- Hokkaido University, Graduate School of Engineering, Division of Sustainable Resources Engineering, Japan
autor
- Akita University, Graduate School of International Resource Sciences, Japan
autor
- Akita University, Graduate School of International Resource Sciences, Japan
autor
- Akita University, Graduate School of International Resource Sciences, Japan
autor
- Hokkaido University, Faculty of Engineering, Division of Sustainable Resources Engineering, Japan
Bibliografia
- [1] Azadeh A, Osanloo M, Ataei M. A new approach to mining method selection based on modifying the Nicholas technique. Appl Soft Comput J 2010;10(4):1040-61.
- [2] Hartman HL, Mutmansky JM. Introductory mining engineering. 2nd ed. New Jersey: John Wiley & Sons; 2002. p. 570.
- [3] Brady BHG, Brown ET. Rock mechanics for underground mining. 3rd ed. The Netherlands: Kluwer Academic Publishers; 2004. p. 347-68.
- [4] Carter PG. Selection process for hard-rock mining. In: Darling P, editor. SME mining engineering handbook. 3rd ed. New York: Society for Mining, Metallurgy, and Exploration, Inc.; 2011. p. 357-76.
- [5] Shariati S, Yazdani-chamzini A, Bashari BP. Mining method selection by using an integrated model. Int Res J Appl Basic Sci 2013;6(2):199-214.
- [6] Bogdanovic D, Nikolic D, Ivana I. Mining method selection by integrated AHP and PROMETHEE method, vol. 84. Anais da Academia Brasileira de Ciencias; 2012. p. 219-33.
- [7] Namin FS, Shahriar K, Ataee-pour M, Dehghani H. A new model for mining method selection of mineral deposit based on fuzzy decision making. SIAMM - J South Afr Inst Min Metall 2008;108(7):385-95.
- [8] Alpay S, Yavuz M. Underground mining method selection by decision making tools. Tunn Undergr Space Technol 2009; 24(2):173-84. Available from: https://doi.org/10.1016/j.tust.2008.07.003.
- [9] Gelvez JIR, Aldana FAC. Mining method selection methodology by multiple criteria decision analysis - case study in Colombian coal mining, vols. 1-11; 2014.
- [10] Sharma R, Singh R. Evolution of recommender systems from ancient times to modern era: a survey. Indian J Sci Technol 2016;9(20).
- [11] Isinkaye FO, Folajimi YO, Ojokoh BA. Recommendation systems: principles, methods and evaluation. Egypt Info J 2015;16(3):261-73.
- [12] Chen RC, Dewi C, Huang SW, Caraka RE. Selecting critical features for data classification based on machine learning methods. J Big Data 2020;7(1). Available from: https://doi.org/10.1186/s40537-020-00327-4.
- [13] Chandrashekar G, Sahin F. A survey on feature selection methods. Comput Electr Eng 2014;40(1):16-28. Available from: https://doi.org/10.1016/j.compeleceng.2013.11.024.
- [14] Al-Aomar R. A combined ahp-entropy method for deriving subjective and objective criteria weights. Int J Ind Eng Theory Appl Pract 2010;17(1):12-24.
- [15] Miller-Tait L, Pakalnis R, Poulin R. UBC mining methods. Mine Plan Equip Sel 1995;163-8.
- [16] Ataei M, Jamshidi M, Sereshki F, Jalali S. Mining method selection by AHP approach Some applications of AHP in mining Engineering area. J S Afr Inst Min Metalla 2008; 108(April 2007):741-9.
- [17] Bitarafan MK, Ataei M. Mining method selection by multiple criteria decision making tools. J S Afr Inst Min Metalla 2004; 104(9):493-8.
- [18] Mabin V, Beattie M. Mulit-criteria decision analysis - work-book companion to VISA. 2006 (May). Available from: http:// www.victoria.ac.nz/som/researchprojects/publications/Mulit-Criteria_Decision_Analysis.pdf.
- [19] Shannon CE. A mathematical theory of communication. Bell Syst Tech J 1948;27(4):623-56.
- [20] Lotfi FH, Fallahnejad R. Imprecise shannon's entropy and multi attribute decision making. Entropy 2010;12(1):53-62.
- [21] Shannon CE, Weaver W. The mathematical theory of communication. 1st ed. Urbana: The University of Illinois Press; 1964. p. 125.
- [22] S ̧ ahin M. A comprehensive analysis of weighting and multicriteria methods in the context of sustainable energy. Int J Environ Sci Technol 2021 Jun 1;18(6):1591-616.
- [23] Vujicic M, Papic M, Blagojevic M. Comparative analysis of objective techniques for criteria weighing in two MCDM methods on example of an air conditioner selection. Tehnika 2017;72(3):422-9.
- [24] Balusa BC, Singam J. Underground mining method selection using WPM and PROMETHEE. J Inst Eng Ser D 2018;99(1):165-71.
- [25] Karadogan A, Kahriman A, Ozer U. Application of fuzzy set theory in the selection of underground mining method. J S Afr Inst Min Metalla 2008;108(2):73-9.
- [26] Bullock RL. Comparison of underground mining methods. In: Darling P, editor. SME mining engineering handbook. 3rd ed. New York: Society for Mining, Metallurgy, and Exploration, Inc.; 2011. p. 384-403.
- [27] Bohnet E. Comparison of surface mining methods. In: Darling P, editor. SME mining engineering handbook. 3rd ed. New York: Society for Mining, Metallurgy, and Exploration, Inc.; 2011. p. 404-13.
- [28] Nieto A. Selection process for soft-rock mining. In: Darling P, editor. SME mining engineering handbook. 3rd ed. New York: Society for Mining, Metallurgy, and Exploration, Inc.; 2011. p. 376-84.
- [29] Alder L, Thompson S. Mining methods classification systems. In: Darling P, editor. SME mining engineering hand- book. 3rd ed. New York: Society for Mining, Metallurgy, and Exploration, Inc.; 2011. p. 349-57.
- [30] Nelson MG. Evaluation of mining methods and systems. In: Darling P, editor. SME mining engineering handbook. 3rd ed. New York: Society for Mining, Metallurgy, and Exploration, Inc.; 2011. p. 341-8
Typ dokumentu
Bibliografia
Identyfikator YADDA
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