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Fuzzy Logic for Underground Mining Method Selection

D. Palanikkumar1, Kamal Upreti2, S. Venkatraman3,*, J. Roselin Suganthi4, Sridharan Kannan5, S. Srinivasan6

1 Department of Information Technology, Dr. NGP Institute of Technology, Coimbatore, 641048, Tamilnadu, India
2 Department of Information Technology, Dr. Akhilesh Das Gupta Institute of Technology & Management, New Delhi 110053, Delhi, India
3 School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India
4 Department of Electronics and Communication Engineering, K. Ramakrishnan College of Engineering, Tiruchirapalli, 621112, Tamilnadu, India
5 Department of Computer Science and Engineering, J. K. K. Munirajah College of Technology, Erode, 638506, Tamilnadu, India
6 Institute of Biomedical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, 602105, Tamilnadu, India

* Corresponding Author: S. Venkatraman. Email: email

Intelligent Automation & Soft Computing 2022, 32(3), 1843-1854.


The Selection of the mining method for underground minerals extraction is the crucial task for the mining engineers. Underground minerals extraction is a multi-criteria decision making problem due to many criteria to be considered in the selection process. There are many studies on selection of underground mining method using Multi Criteria Decision Making (MCDM) techniques or approaches. Extracting minerals from the underground involves many geological characteristics also called as input parameters. The geological characteristics of any mineral deposit vary from one location to another location. Thus only one mineral extraction method is not suitable for different deposit characteristics. There are many mineral extraction methods available for different characteristics of the ore deposit. As of now only MCDM approach or Hybrid MCDM approaches or MCDM approaches with fuzzy logic were used for selecting a mining method for underground metal mine. In this study, only fuzzy logic approach is used for selecting a mining method for different deposit characteristics. The proposed model considers five deposit characteristics as input parameters and seven underground mining methods output parameters The developed fuzzy logic based approach is also validated by the deposit characteristics of two Indian mines. The model produced the suitable mining method for extraction of the minerals at the specified Indian mines and the same mining methods are used by the mine authorities.


Cite This Article

D. Palanikkumar, K. Upreti, S. Venkatraman, J. Roselin Suganthi, S. Kannan et al., "Fuzzy logic for underground mining method selection," Intelligent Automation & Soft Computing, vol. 32, no.3, pp. 1843–1854, 2022.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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