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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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【作者】 田森陈建宏

【Author】 TIAN Sen;CHEN Jian-hong;School of Resources and Environmental Science,Chongqing University;School of Resources and Safety Engineering,Central South University;School of Civil Engineering,The University of Queensland;

【机构】 School of Resources and Environmental Science,Chongqing UniversitySchool of Resources and Safety Engineering,Central South UniversitySchool of Civil Engineering,The University of Queensland

【摘要】 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.

【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.

【基金】 Project(51374242)supported by the National Natural Science Foundation of China;Project(200449)supported by National Outstanding Doctoral Dissertations Special Fund of China;Project(2012QNZT028)supported by the Free Exploration Fund of Central South University,China
  • 【文献出处】 Journal of Central South University ,中南大学学报(英文版) , 编辑部邮箱 ,2015年12期
  • 【分类号】TD926.4;TP18
  • 【被引频次】1
  • 【下载频次】65
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