Multi-hierarchical fuzzy judgment and nested dominance relation of rough set theory-based environmental risk evaluation for tailings reservoirs
来源期刊:中南大学学报(英文版)2015年第12期
论文作者:TIAN Sen CHEN Jian-hong
文章页码:4797 - 4806
Key words:environmental risk; tailings reservoir; fuzzy evaluation; dominance relation; rough set; grey correlation theory
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.
TIAN Sen(田森)1, 2, 3, CHEN Jian-hong(陈建宏)2
(1. School of Resources and Environmental Science, Chongqing University, Chongqing 400000, China;
2. School of Resources and Safety Engineering, Central South University, Changsha 410083, China;
3. School of Civil Engineering, the University of Queensland, Brisbane, QLD 4072, Australia)
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.
Key words:environmental risk; tailings reservoir; fuzzy evaluation; dominance relation; rough set; grey correlation theory