FUZZY AHP METHOD FOR PLANT SPECIES SELECTION IN MINE RECLAMATION PLANS: CASE STUDY SUNGUN COPPER MINE

Document Type: Research Paper

Author

Department of Mining Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract

All steps of a mining project generally disturb the environment's
original condition during construction. Therefore, it is crucial to
implement an appropriate mine reclamation plan throughout all mine
planning stages from sustainable and environmental point of view.
Planting the suitable plant species in each step of any reclamation
plan and each area is one of the necessities in this respect.
Selecting of plant species is carried out on the basis of the
primary factors. After that priorities between the selected species
are defined on account of the secondary factors by a MCDM model. In
this regard, a Fuzzy AHP approach was used. This method was applied
to Sungun open pit copper mine in Iran as a case study. Decision
making was conducted on the basis of oral judgments and group
expertise in the case study. The results achieved from the analyses
showed that the priorities of alternatives are as Maple, Ash, Oak,
Barberry, Paliurus spina -Christi, Sloe, respectively.

Keywords


bibitem{13}
A. D. Akbari, M. Osanloo and H. Hamidian, {it Selecting post mining
land use through analytical hierarchy processing method: case study
in Sungun copper open pit mine of Iran}, MPES conference, Torino,
2006.

bibitem{10}
I. Alavi, A. Akbari and H. Alinejad Rokny, {it Plant type selection for
reclamation of sarcheshmeh copper mine by fuzzy-topsis method}, Adv. Eng. Tech. Appl., {bf 1}textbf{(1)} (2012), 8-13.

bibitem{15}
I. Alavi, H. R. Alinejad and M. Sadegh zadeh, {it Prioritizing
crescive plant species in choghart iron mine desert region (Used
method: Fuzzy AHP)}, Australian Journal of Basic and Applied
Sciences, {bf 5}textbf{(12)} (2011), 1075-1078.

bibitem{5}
P. Askenasy and J. Brandt, {it Land capability classification in
report of the Soil working Group-Texas mineland reclamation},
Monitoring Program Issues, (1998), 47-58.

bibitem{11}
A. H. Bangian and M. Osanloo, {it Multi attribute decision model for
plant species selection in mine reclamation plans: Case study sungun
copper mine}, Post-Mining, France, (2008), 1-11.

bibitem{23}
R. E. Bellman and L. A. Zadeh, {it Local and fuzzy logics, modern
uses of multiple-valued logic}, Kluwer, Boston, 1977.
bibitem{18}
G. Bojadziev and M. Bojadziev, {it Fuzzy sets and fuzzy logic
applications}, World Scientific, Singapore, 1996.

bibitem{1}
A. Bufardi, R. Gheorghe, D. Kirtsis and P. Hirouchakis, {it
Multicriteria decision aid approach for product end-of-life
alternative selection}, Int. J. Prod. Res., {bf 42} (2004)
3139-3157.

bibitem{32}
J. Buckley, {it Fuzzy hierarchical analysis}, Fuzzy Sets and Systems.,
{bf 17} (1985), 233-247.

bibitem{8}
P. J. Carrick and R. Kruger, {it Restoring degraded landscapes in
lowland Namaqualand: Lessons from the mining experience and from
regional ecological dynamics}, Journal of Arid Environments, {bf
32} (2007), 52-67.

bibitem{33}
D. Y. Chang, {it Applications of the extent analysis method on fuzzy
AHP}, Eur. J. Oper. Res., {bf 95} (1996), 649-655.

bibitem{4}
N. J. Coppin and A. D. Bradshaw, {it Quarry reclamation: the
establishment of vegetation in quarries and open Pit non- metal
mines}, Mining Journal Books Ltd, London, England, (1982), 18-25.

bibitem{24}
H. Deng, {it Multi-criteria analysis with fuzzy pair-wise
comparison}, Int. J. Approx. Reason, {bf 21} (1999), 215-231.

bibitem{17}
I. Ertugrul and N. Karakasoglu, {it Fuzzy TOPSIS method for
academic member selection in engineering faculty}, International
Joint Conferences on Computer, Information and Systems Sciences,
and Engineering (CIS2E 06), (2006), 4-14.

bibitem{21}
I. Ertugrul and N. Karakasoglu, {it Comparison of fuzzy AHP and
fuzzy TOPSIS methods for facility location selection}, Int. J. Adv.
Manuf. Tech., DOI 10.1007/s00170-007-1249-8, (2007), 1-13.

bibitem{19}
I. Ertugrul and A. Tus, {it Interactive fuzzy linear programming
and an application sample at a mine firm}, Fuzzy Optim Decision
Making, {bf 6} (2007), 29-49.

bibitem{6}
D. R. Howat, {it Acceptable salinity, sodicity and pH values for
boreal forest reclamation}, Alberta Environment. Environmental
Sciences Division, Edmonton Alberta, 2000.

bibitem{3}
Y-L. Hsu, Ch-H. Lee and V-B. Kreng, {it The application of fuzzy
delphi method and fuzzy AHP in lubricant regenerative technology
selection}, Expert Systems with Applications, {bf 37} (2010),
419-425.

bibitem{27}
G. Kabir and M. A. A. Hasin, {it Evaluation of customer oriented
success factors in mobile commerce using fuzzy AHP}, Journal of
Industrial Engineering and Management, {bf 4}textbf{(2)} (2011),
361-386.

bibitem{29}
C. Kahraman, U. Cebeci and  Z. Ulukan, {it Multi-criteria supplier
selection using fuzzy AHP}, Logist Inf. Manag., {bf 16}
textbf{(6)} (2003), 382-394.

bibitem{26}
W. B. Lee. H. Lau, Z. Liu and S. Tam, {it A fuzzy analytical
hierarchy process approach in modular product design}, Expert Systems with Applications,
{bf 18}textbf{(1)} (2001), 32-42.

bibitem{2}
I. Mergias, K. Moustakas, A. Papadopoulos and M. Loizidou, {it
Multi-criteria decision aid approach fort he selection of the best
compromise management scheme for ELVs: The case of Cyprus}, J.
Hazardous Mater, {bf 147} (2007), 706-717.

bibitem{14}
M. Momeni, {it New Topics in operation research}, Faculty of
Management University of Tehran, TEHRAN University Press, {bf 1}
(2006), 187-231.

bibitem{12}
M. Osanloo, {it Mine Reclamation}, Tehran: AMIRKABIR University of
Technology Press, {bf 1} (2001), 183-193.

bibitem{25}
T. L. Saaty, {it The analytical hierarchy process}, Mc-Graw-Hill,
New York, 1980.

bibitem{9}
H. Soltanmohammadi, M. Osanloo and A. B. Aghajani, {it An analytical
approach with a reliable logic and a ranking policy for post-mining
land-use determination}, Land Use Policy, {bf 27} (2010), 364-372.

bibitem{7}
T. C. Tafi, D. Neuman and J. Wraith, {it Reclamation effectiveness at
three reclaimed abandoned mine sites in Jefferson County, Montana},
A Thesis Submitted in Partial Fulfillment of the Requirements for
the Degree of Master of Science in Land Rehabilitation. Montana
State University, Bozeman, Montana, 2006.

bibitem{28}
O. S. Vaidya and S. Kumar, {it Analytic hierarchy process: an
overview of applications}, Eur. J. Oper. Res., {bf 169} (2006),
1-29.

bibitem{31}
PJ. M. VanLaarhoven and W. Pedrcyz, {it A fuzzy extension of Saaty's
priority theory}, Fuzzy Sets and Systems, {bf 11} (1983), 229-241.

bibitem{30}
T. C. Wang and Y. H. Chen, {it Applying consistent fuzzy preference
relations to partnership selection}, Omega, {bf 35} (2007), 384-
388.

bibitem{16}
L. A. Zadeh, {it Fuzzy sets}, Information and Control, {bf 8} (1965), 338-353.

bibitem{22}
L. A. Zadeh, {it The concept of a linguistic variable and its
application to approximate reasoning}, Information Science, {bf 8}
(1975), 199- 249.

bibitem{20}
H. J. Zimmermann, {it Fuzzy set theory and its applications},
Kluwer, Boston, 1992.