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Journal of the Southern African Institute of Mining and Metallurgy

On-line version ISSN 2411-9717

J. S. Afr. Inst. Min. Metall. vol.108 n.2 Johannesburg Feb. 2008

 

TRANSACTION PAPER

 

Application of fuzzy set theory in the selection of underground mining method

 

 

A. Karadogan; A. Kahriman; U. Ozer

Mining Engineering Department, Istanbul University, Turkey

 

 


SYNOPSIS

Decision making can be defined as the selection process of the best routes from the alternatives in order to achieve a goal, and mostly involves uncertainty. Additionally, mostly qualitative variables (weak rock, massive ore deposit, etc.) are in question. Mine planning engineers often use their intuition and experience in decision making. As fuzzy set theory has been used since 1970, these uncertainties are easily evaluated in the decision-making process. Real world study is decision making under vague constraints of different importance, involving uncertain data (qualitative variables), where compromises between antagonistic criteria are allowed.
This paper presents a new approach in the selection of an underground mining method based on fuzzy set theory for the Ciftalan Lignite Site located close to Istanbul in Turkey. The physical parameters such as geology and the geotechnical properties of ore, hanging and foot wall, economic effects, environmental effects, are established with field and laboratory tests together with the determination of other qualitative variables. Meanwhile, some qualitative variables dealing with the matter was described according to the view of a number of experts. Then fuzzy set theory is applied to these parameters, considering the available underground methods in order to choose the proper method. At the end of the evaluations, the room and pillar method with filling was determined as the most suitable method for the test site.

Keywords: Decision making, fuzzy set theory, underground, mining, method selection


 

 

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References

1. KAHRIMAN, A., CEYLANOĞLU, A., DEMIRCI, A., ARPAZ, E., and UYSAL, Ö. Optimum underground mining method selection for Kayseri-Pulpinar Chrome Mine, Mining Review, TMMOB Chamber of The Mining Engineers, Ankara, 1994. pp. 27-41.         [ Links ]

2. DEMIRCI, A., CEYLANOĞLU, A., and KAHRIMAN, A. Determination of optimum underground mining method at Aegean Metal Eskişehir Chrome Enterprise and Projected Studies, Final Report, Cumhuriyet Universiy, Sivas, 1995.         [ Links ]

3. NICHOLAS, D.E. Selection variables, Mining Engineering Handbook, vol. 2, 1993. pp. 2051-2057.         [ Links ]

4. HAMRIN, H. Choosing an underground mining method, Techniques in Underground Mining, Society of Mining Metallurgy and Exploration Inc., Littleton, CO, USA, 1998. pp. 45-85.         [ Links ]

5. BASCETIN, A. A decision support system using analytical hierarchy process (AHP) for the optimal environmental reclamation of an open pit mine, Environmental Geology, vol. 52, no. 4, April, 2007, pp. 663-672.         [ Links ]

6. BASCETIN, A., ÖZTAŞ, A., and KANLı, A. EQS: A Computer Software Using Fuzzy Logic for Equipment Selection in Mining Engineering, The Journal of the South African Institute of Mining and Metallurgy (SAIMM), vol. 106. no. 1, January, 2006.         [ Links ]

7. BAŞÇETIN, A. An Application of the Analytic Hierarchy Process in Equipment Selection at Orhaneli Open Pit Coal Mine. Transactions of the Institutions of Mining and Metallurgy (AusIMM), Section A-Mining Technology. vol. 113, no. 3, September, 2004.         [ Links ]

8. ZADEH, L.A. The concept of a linguistic variable and its application to approximate reasoning, Part 1, Information Science, vol. 813, 1975. pp. 199-249.         [ Links ]

9. GOKAY, M.K. Used of the fuzzy logic approach on rock mass classification, Mining Review, TMMOB Chamber of The Mining Engineers, Ankara, 1998. pp. 3-11.         [ Links ]

10. KARADOGAN, A., BASCETIN, A., KAHRIMAN, A., and GORGUN, S. A new approach in selection of underground mining method, Int. Conf. Modern Management Mine Producing Geol. Env. Protection, Varna, Bulgaria, June 3-9, 2001. pp. 171-183.         [ Links ]

11. BASCETIN, A. and KESIMAL, A. Fuzzy logic application in mining, Engineering Faculty's Earth Sciences Review, vol. 12, no. 1, 1999.         [ Links ]

12. ALBAYRAK, C. and ALBAYRAK, E. Selection of rigth associate on strategical cooperation: suggestion a decision support model, 1th National Production Researchs Sym., Istanbul, 1997. pp. 19-22.         [ Links ]

13. YAGER, R.R. A new methodology for ordinal multi objective decisions based on fuzzy sets, Decision Sci. 12, 1981. pp. 589-600.         [ Links ]

14. SAATY, T.L. Exploring the interface between hierarchies, multiple objectives and fuzzy sets, Fuzzy Sets and Systems, 1, 1978. pp. 57-68.         [ Links ]

15. Matlab, The Mathworks, Inc., version 5.0.0.4069, copyright 1984-1996.         [ Links ]

 

 

Paper received Oct. 2006
Revised paper received Mar. 2007

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