Abstract
Schemes to protect the geological environment and reclaim land are core requirements for an application for mining rights and complying with mining regulations. Mining enterprises must be supervised to ensure they fulfill their obligations. To guide oversight of such schemes and to provide references for their compilation and review, this study evaluates land reclamation schemes in mining areas using a multi-attribute group decision-making method. First, linguistic intuitionistic fuzzy numbers are used to describe the evaluation information. Considering the authority and preferences of experts, methods for determining expert weights in four cases are established. Max–min deviation then determines the attribute weights, and a method for linguistic intuitionistic fuzzy group decision-making is proposed. Finally, the practicability of this method is verified through a comparative analysis of land reclamation schemes for four mining areas in Sichuan Province, China. The results show the proposed method to give simple and effective evaluation, making it reasonably applicable to the compilation and review of land reclamation schemes.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Data availability
All data generated or analyzed in this study may be provided by the corresponding author upon reasonable request.
Code availability
Code can be provided if required.
References
Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 80:87–96. https://doi.org/10.1016/S0165-0114(86)80034-3
Ban AI, Coroianu L (2015) Existence, uniqueness, calculus and properties of triangular approximations of fuzzy numbers under a general condition. Int J Approx Reason 62:1–26. https://doi.org/10.1016/j.ijar.2015.05.004
Chen X, Xu WJ, Liang HM, Dong YC (2019) The classification-based consensus in multi-attribute group decision-making. J Oper Res Soc 71(9):1375–1389. https://doi.org/10.1080/01605682.2019.1609888
Chen ZC, Liu PH, Pei Z (2015) An approach to multiple attribute group decision making based on linguistic intuitionistic fuzzy numbers. Int J Comput Intell Syst 8(4):747–760. https://doi.org/10.1080/18756891.2015.1061394
Cheng LL, Hu ZQ, Lou S (2017) Improved methods for fuzzy comprehensive evaluation of the reclamation suitability of abandoned mine lands. Int J Min Reclam Environ 31(3):212–229. https://doi.org/10.1080/17480930.2016.1167305
Deng J, Zhan JM, Wu WZ (2021) A three-way decision methodology to multi-attribute decision-making in multi-scale decision information systems. Inf Sci 568:175–198. https://doi.org/10.1016/j.ins.2021.03.058
Ding Q, Wang YM, Goh M (2020) An extended todim approach for group emergency decision making based on bidirectional projection with hesitant triangular fuzzy sets. Comput Ind Eng 151:106959. https://doi.org/10.1016/j.cie.2020.106959
Dong L, Gu X, Wu X, Liao HC (2019) An improved multimoora method with combined weights and its application in assessing the innovative ability of universities. Expert Syst 36(2):e12362. https://doi.org/10.1111/exsy.12362
Fang ZB, Ye J (2017) Multiple attribute group decision-making method based on linguistic neutrosophic numbers. Symmetry 9(7):111. https://doi.org/10.3390/sym9070111
Feng Y, Wang JM, Bai ZK, Reading L (2019) Effects of surface coal mining and land reclamation on soil properties: A review. Earth Sci Rev 191:12–25. https://doi.org/10.1016/j.earscirev.2019.02.015
Fu Q, Song YF, Fan CL, Lei L, Wang XD (2020) Evidential model for intuitionistic fuzzy multi-attribute group decision making. Soft comput 24(10):7615–7635. https://doi.org/10.1007/s00500-019-04389-2
Guo XZ, Pan J, Wu GG, Xu FX, Lu YQ (2015) The research and design of a land reclamation supervisory information system in a mining area. IRRIG Drain 64(1):139–151. https://doi.org/10.1002/ird.1864
Gupta P, Mehlawat MK, Ahemad F (2022) Selection of renewable energy sources: a novel vikor approach in an intuitionistic fuzzy linguistic environment. Environ Dev Sustain. https://doi.org/10.1007/s10668-022-02172-2
Jain N, Tomar A, Jana PK (2020) A novel scheme for employee churn problem using multi-attribute decision making approach and machine learning. J Intell Inf Syst 56(2):279–302. https://doi.org/10.1007/s10844-020-00614-9
Kaushik M, Kumar M (2022) An application of fault tree analysis for computing the bounds on system failure probability through qualitative data in intuitionistic fuzzy environment. Qual Reliab Eng Int. https://doi.org/10.1002/qre.3084
Li YH, Kou G, Li GX et al (2021a) Multi-attribute group decision making with opinion dynamics based on social trust network. Information Fusion 75:102–115. https://doi.org/10.1016/j.inffus.2021.04.010
Li YP, Liu M, Cao J et al (2021b) Multi-attribute group decision-making considering opinion dynamics. Expert Syst Appl 184:115479. https://doi.org/10.1016/j.eswa.2021.115479
Liang WZ, Zhao GY, Luo SZ (2018) Linguistic neutrosophic Hamacher aggregation operators and the application in evaluating land reclamation schemes for mines. PLoS One 13(11): e0206178. https://doi.org/10.1371/journal.pone.0206178
Lin H, You JX, Xu T (2021) Evaluation of online teaching quality: An extended linguistic MAGDM framework based on risk preferences and unknown weight information. Symmetry 13(2):192. https://doi.org/10.3390/sym13020192
Lin J, Meng FY, Chen RQ et al (2018a) Preference attitude-based method for ranking intuitionistic fuzzy numbers and its application in renewable energy selection. Complexity. https://doi.org/10.1155/2018/6251384
Lin MW, Xu ZS, Zhai YL et al (2018b) Multi-attribute group decision-making under probabilistic uncertain linguistic environment. J Oper Res Soc 69(2):157–170. https://doi.org/10.1057/s41274-017-0182-y
Liu F, Li TR, Wu J et al (2021a) Modification of the BWM and MABAC method for MAGDM based on Q-Rung orthopair fuzzy rough numbers. Int J Mach Learn Cybern 12(9):2693–2715. https://doi.org/10.1007/s13042-021-01357-x
Liu HB, Liu Y, Xu L et al (2021b) Multi-attribute group decision-making for online education live platform selection based on linguistic intuitionistic cubic fuzzy aggregation operators. Computational and Applied Mathematics 40(1):16. https://doi.org/10.1007/s40314-020-01406-1
Liu PD, Qin XY (2017) Power average operators of linguistic intuitionistic fuzzy numbers and their application to multiple-attribute decision making. J Intell Fuzzy Syst 32(1):1029–1043. https://doi.org/10.3233/JIFS-16231
Liu PD, Liu XX, Ma GY, Liang ZL, Wang CH (2020) A multi-attribute group decision-making method based on linguistic intuitionistic fuzzy numbers and dempster..cshafer evidence theory. Int J Inf Technol Decis Mak 19(5), 499–524. https://doi.org/10.1142/S0219622020500042
Liu Q, Wu HY, Xu ZS (2021c) Consensus model based on probability k-means clustering algorithm for large scale group decision making. Int J Mach Learn Cybern 12(6):1609–1626. https://doi.org/10.1007/s13042-020-01258-5
Mahmoudi A, Sadi-Nezhad S, Makui A (2016) A hybrid fuzzy-intelligent system for group multi-attribute decision making. Int J Fuzzy Syst 18(6):1117–1130. https://doi.org/10.1007/s40815-016-0173-1
Meng FY, Dong BH (2021) Linguistic intuitionistic fuzzy promethee method based on similarity measure for the selection of sustainable building materials. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-021-03338-y
Meng FY, Chen XH, Zhang Q (2015) Some uncertain generalized shapley aggregation operators for multi-attribute group decision making. J Intell Fuzzy Syst 29(4):1251–1263. https://doi.org/10.3233/IFS-131069
Merigo JM, Gil-Lafuente AM (2013) Induced 2-tuple linguistic generalized aggregation operators and their application in decision-making. Inform Sci 236:1–16. https://doi.org/10.1016/j.ins.2013.02.039
Pang JF, Guan XQ, Liang JY, Wang BL, Song P (2020) Multi-attribute group decision-making method based on multi-granulation weights and three-way decisions. Int J Approx Reason 117:122–147. https://doi.org/10.1016/j.ijar.2019.11.008
Peco JD, Higueras P, Campos JA, Esbri JM, Sandalio LM (2021) Abandoned mine lands reclamation by plant remediation technologies. J Mol Med 13(12):6555. https://doi.org/10.3390/su13126555
Pramanik S, Mallick R (2019) Todim strategy for multi-attribute group decision making in trapezoidal neutrosophic number environment. Compl Intell Syst 5(4):379–389. https://doi.org/10.1007/s40747-019-0110-7
Rao C, Zheng J, Wang C, Xiao X (2016) A hybrid multi-attribute group decision making method based on grey linguistic 2-tuple. Iran J Fuzzy Syst 13(2):37–59
Sirisawat P, Kiatcharoenpol T (2018) Fuzzy AHP-topsis approaches to prioritizing solutions for reverse logistics barriers. Comput Ind Eng 117:303–318. https://doi.org/10.1016/j.cie.2018.01.015
Wang F (2021) Preference degree of triangular fuzzy numbers and its application to multi-attribute group decision making. Expert Syst Appl 178:114982. https://doi.org/10.1016/j.eswa.2021.114982
Wang LY, Yu LY, Ni ZX (2022) A novel IVIF QFD considering both the correlations of customer requirements and the ranking uncertainty of technical attributes. Soft Comput. https://doi.org/10.1007/s00500-022-06892-5
Wang Y, Sun BZ, Zhang X, Wang Q (2020) BWM and multimoora-based multigranulation sequential three-way decision model for multi-attribute group decision-making problem. Int J Approx Reason 125:169–186. https://doi.org/10.1016/j.ijar.2020.07.003
Xu ZS (2013) Intuitionistic fuzzy aggregation operators. IEEE Trans Fuzzy Syst 15(6):1179–1187. https://doi.org/10.1016/j.inffus.2012.01.011
Yang YD, Ding XF (2021) A q-rung orthopair fuzzy non-cooperative game method for competitive strategy group decision-making problems based on a hybrid dynamic experts’ weight determining model. Complex Intell Systems 7(6):3077–3092. https://doi.org/10.1007/s40747-021-00475-x
Yavuz M, Altay BL (2015) Reclamation project selection using fuzzy decision-making methods. Environ Earth Sci 73(10):6167–6179. https://doi.org/10.1007/s12665-014-3842-0
Ye J, Song JM, Du SG, Yong R (2021) Weighted aggregation operators of fuzzy credibility numbers and their decision-making approach for slope design schemes. J Comput Appl Math 40(4):155. https://doi.org/10.1007/s40314-021-01539-x
Yin K, Wang P, Li X (2017) The multi-attribute group decision-making method based on interval grey trapezoid fuzzy linguistic variables. Int J Environ Res Public Health 14(12):1561. https://doi.org/10.3390/ijerph14121561
Yu GF, Li DF, Fei W (2019) A novel method for heterogeneous multi-attribute group decision making with preference deviation. Comput Ind Eng 124:58–64. https://doi.org/10.1016/j.cie.2018.07.013
Yu XY, Mu C, Zhang DD (2020) Assessment of land reclamation benefits in mining areas using fuzzy comprehensive evaluation. Sustainability 12(5):2015. https://doi.org/10.3390/su12052015
Yuan RP, Tang J, Meng FY (2018) Linguistic intuitionistic fuzzy group decision making based on aggregation operators. International Journal of Fuzzy Systems 21(2):407–420. https://doi.org/10.1007/s40815-018-0582-4
Zadeh LA (1965) Fuzzy sets. Information and Control 8(3):338–353. https://doi.org/10.1016/S0019-9958(65)90241-X
Zhou W, Yin WY, Peng XQ, Liu FM, Yang F (2016) Comprehensive evaluation of land reclamation and utilisation schemes based on a modified Vikor method for surface mines. Int J Min Reclam Environ 32(2):93–108. https://doi.org/10.1080/17480930.2016.1228031
Funding
This study was funded by the Applied Basic Research Programs of Science Province (Grant No. 2021JY0108) and a Scientific Research Project of Neijiang Normal University (Grant No. 2021YB22).
Author information
Authors and Affiliations
Contributions
All authors contributed to the study’s conception and design. Material preparation, data collection, and analysis were performed by Yi Liu, Fang Liu, and Hao Gong. The first draft of the manuscript was written by Ju Wu, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Ethics approval
Ethics approval was not needed for this study.
Consent to participate
All authors agreed to participate.
Consent for publication
All authors agree to publish this paper.
Conflict of interest
The authors declare no competing interests.
Additional information
Responsible Editor: Marcus Schulz
Rights and permissions
About this article
Cite this article
Wu, J., Liu, Y., Liu, F. et al. Comprehensive evaluation of land reclamation schemes in mining areas based on linguistic intuitionistic fuzzy group decision-making. Environ Sci Pollut Res 29, 87380–87392 (2022). https://doi.org/10.1007/s11356-022-20952-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-022-20952-1