Multi-hierarchical fuzzy judgment and nested dominance relation of rough set theory-based environmental risk evaluation for tailings reservoirs

Sen Tian , Jian-hong Chen

Journal of Central South University ›› 2015, Vol. 22 ›› Issue (12) : 4797 -4806.

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Journal of Central South University ›› 2015, Vol. 22 ›› Issue (12) : 4797 -4806. DOI: 10.1007/s11771-015-3031-7
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Multi-hierarchical fuzzy judgment and nested dominance relation of rough set theory-based environmental risk evaluation for tailings reservoirs

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Abstract

Environmental risk assessment of tailings reservoir assessment system is complex and has many index factors. In order to accurately judge surrounding environmental risks of tailings reservoirs and determinate the corresponding prevention and control work, multi-hierarchical fuzzy judgment and nested dominance relation of rough set theory are implemented to evaluate them and find out the rules of this evaluation system with 14 representative cases. The methods of multi-hierarchical fuzzy evaluation can overall consider each influence factor of risk assessment system and their mutual impact, and the index weight based on the analytic hierarchy process is relatively reasonable. Rough set theory based on dominance relation reduces each index attribute from the top down, largely simplifies the complexity of the original evaluation system, and considers the preferential information in each index. Furthermore, grey correlation theory is applied to analysis of importance of each reducted condition attribute. The results demonstrate the feasibility of the proposed safety evaluation system and the application potential.

Keywords

environmental risk / tailings reservoir / fuzzy evaluation / dominance relation / rough set / grey correlation theory

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Sen Tian, Jian-hong Chen. Multi-hierarchical fuzzy judgment and nested dominance relation of rough set theory-based environmental risk evaluation for tailings reservoirs. Journal of Central South University, 2015, 22(12): 4797-4806 DOI:10.1007/s11771-015-3031-7

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References

[1]

WeiZ-a, YinG-z, WangJ-g, WanL, LiG-zhi. Design, construction and management of tailings storage facilities for surface disposal in China: case studies of failures [J]. Waste Management & Research, 2013, 31(1): 106-112

[2]

XieX-y, TianW-q, WangY-h, ZhangX-kai. The safety analysis of current situation and management countermeasure on tailing reservoir in China [J]. Journal of Safety Science and Technology, 2009, 5(2): 5-9

[3]

SunX, NingP, TangX-l, YiH-h, LiK, ZhouL-b, XuX-ming. Environmental risk assessment system for phosphogypsum tailing dams [J]. The Scientific World Journal, 2013, 2013: 5-9

[4]

MeriemL, TeresaT, JoseA P, RachidH, AzzouzK, RogerG, MohammedJ, LahcenZ. Electrical and seismic tomography used to image the structure of a tailings pond at the abandoned Kettara mine, morocco [J]. Mine Water and the Environment, 2012, 31(1): 53-61

[5]

GrangeiC ¨, VilaP, MatiasM, SilvaF D. Mine tailings integrated investigations: The case of Rio tailings (Panasqueira mine, central Portugal) [J]. Engineering Geology, 2011, 123(4): 359-372

[6]

SongX-d, FuY-b, ChenZ-y, LiuH-bing. Environmental impact evaluation for high-speed railway [J]. Journal of Central South University, 2014, 21(6): 2366-2371

[7]

ZhuY-g, ZhuQ-j, ZhuZ-wei. Modeling, evaluation and analysis of tourism destination competitiveness: A case study of the Yangtze River delta of China [J]. Asia Pacific Journal of Tourism Research, 2014, 19(8): 932-949

[8]

CHEN Li, ZHANG Ying, SONG Zi-lin, MIAO Zhuang, Automatic web services classification based on rough set theory [J]. Journal of Central South University, 2013, 20(10): 2708-2714.

[9]

RizaL S, JanuszA, BergmeirC, CornelisC, HerreraF, ZakD S, BenitezJ M. Implementing algorithms of rough set theory and fuzzy rough set theory in the R package ¡°Rough Sets¡±[J]. Information Sciences, 2014, 287: 68-89

[10]

SunB-z, MaW-m, GongZ-tai. Dominance-based rough set theory over interval-valued information systems [J]. Expert Systems, 2014, 31(2): 185-197

[11]

LiuL, ChenJ-h, WangG-m, LaoD-zheng. Multi-attributed decision making for mining methods based on grey system and interval numbers [J]. Journal of Central South University, 2013, 20(4): 1029-1033

[12]

ZhaoY, GongZ-w, WangW-h, LuoKai. The comprehensive risk evaluation on rainstorm and flood disaster losses in China mainland from 2004 to 2009: Based on the triangular gray correlation theory [J]. Natural Hazards, 2014, 71(2): 1001-1016

[13]

ZhengG-z, ZhuN, TianZ, ChenY, SunB-hui. Application of a trapezoidal fuzzy AHP method for work safety evaluation and early warning rating of hot and humid environments [J]. Safety Science, 2012, 50(2): 228-239

[14]

BadiozamaniM M, Askari-NasabH. Integration of reclamation and tailings management in oil sands surface mine planning [J]. Environmental Modelling & Software, 2014, 5: 45-58

[15]

CaputoA C P, PM S P. AHP-based methodology for selecting safety devices of industrial machinery [J]. Safety Science, 2013, 53: 202-218

[16]

NefesliogluH A, SezerE A, GokceogluC, AyasZ. A modified analytical hierarchy process (M-AHP) approach for decision support systems in natural hazard assessments [J]. Computers & Geosciences, 2013, 59: 1-8

[17]

WangW-s, LiY-qing. Hazard degree assessment of landslide using set pair analysis method [J]. Natural Hazards, 2012, 60(2): 367-379

[18]

ZouQ, ZhouJ-z, ZhouC, SongL-x, GuoJun. Comprehensive flood risk assessment based on set pair analysis-variable fuzzy sets model and fuzzy AHP [J]. Stochastic Environmental Research and Risk Assessment, 2013, 27(2): 525-546

[19]

ZhaoK-qinSet pair analysis and preliminary application [M], 2000HangzhouZhejiang Science & Technology Press

[20]

RenB-y, SunY-c, ZhouZ-y, ChengZ-f, HuX-fu. Comprehensive evaluation model of reservoir operation based on improved set pair analysis [J]. Transactions of Tianjin University, 2013, 19(1): 25-28

[21]

LiuY. Study on environment evaluation and protection based on set pair analysis-A Case Study of Chongqing [J]. Energy Procedia, 2012, 14: 14-19

[22]

IanY-h, LiangJ-y, SongP, DangC-y, WeiWei. Evaluation of the decision performance of the decision rule set from an ordered decision table [J]. Knowledge-Based Systems, 2012, 36: 39-50

[23]

ZhangX-y, MiaoD-qian. Reduction target structure-based hierarchical attribute reduction for two-category decision-theoretic rough sets [J]. Information Sciences, 2014, 277(1): 755-776

[24]

QianJ, MiaoD-q, ZhangZ-h, YueX-dong. Parallel attribute reduction algorithms using MapReduce [J]. Information Sciences, 2014, 279(20): 671-690

[25]

ChenJ-h, ZhengH-l, LiuZ-x, YangR-bo. Rough sets of laneway supporting schemes evaluation system based on dominance relation [J]. Journal of Central South University: Science and Technology, 2011, 42(6): 1698-1703

[26]

LiW-g, YuQ, LuoR-cheng. Application of fuzzy analytic hierarchy process and neural network in power transformer risk assessment [J]. Journal of Central South University, 2012, 19(4): 982-987

[27]

AfanehS, ZitarR A A-, HamamiA. Virus detection using clonal selection algorithm with Genetic Algorithm (VDC algorithm) [J]. Applied Soft Computing, 2013, 13(1): 239-246

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