摘要
用基于非支配排序遗传算法-Ⅱ组合赋权法的非对称多维联系云模型对24个湖库水体的富营养化程度进行分级评价。结果表明,该方法可综合不同赋权理念的优势,量化权重组合过程的不确定性、不同权重的随机性及其与真实权重的一致性等多重模糊特征,同时能高效准确地寻优求解指标权重,并能适用于多种不同类型水体的评价。扩展的多维联系云也提升了计算效率,集成联系度定量表征了富营养化等级与指标间的多重模糊随机性,实现了对水体富营养状况及其变化趋势的精确评价。
The multi-dimensional connection cloud model based on non-dominated sorting genetic algorithm-Ⅱcombination weighting method was used to grade and evaluate the eutrophication degree of 24 lakes and reservoirs.The results showed that the method could synthesize the advantages of different weighting concepts,quantify multiple fuzzy features such as the uncertainty of the weight combination process,the randomness of different weights and the consistency with the real weight,and could effectively and accurately find the index weight,and could be applied to the evaluation of different types of water bodies.The extended multi-dimensional connection cloud also improved the computational efficiency.The integrated connection degree quantitatively characterized the multiple fuzzy randomness between the eutrophication level and the index.And the accurate evaluation of the eutrophication status and its changing trend was realized.
作者
晏嘉辉
汪明武
陈光耀
金菊良
YAN Jiahui;WANG Mingwu;CHEN Guangyao;JIN Juliang(School of Civil and Hydraulic Engineering,Hefei University of Technology,Hefei Anhui 230009)
出处
《环境污染与防治》
CAS
CSCD
北大核心
2023年第1期86-91,共6页
Environmental Pollution & Control
基金
国家自然科学基金资助项目(No.41172274)。
关键词
非支配排序遗传算法-Ⅱ组合赋权
水体富营养化
评价
多维联系云
多目标优化模型
non-dominated sorting genetic algorithm-Ⅱcombination weighting
water eutrophication
evaluation
multi-dimensional connection cloud
multi-objective optimization model
