水资源与水工程学报2016，Vol.27Issue(6)：1-6,6.DOI:10.11705/j.issn.1672-643X.2016.06.01
引入SPA的6级模糊模式识别模型在水质综合评价中的应用
Application of 6-level fuzzy pattern recognition model based on set pair analysis in river water quality evaluation
摘要
Abstract
In order to solve the general evaluation shortcomings of the fuzzy recognition theory on 5 level standard values and the maximum membership degree principle, this study puts forward the calculation method of 6 level water quality to improve the model of fuzzy pattern recognition, furthermore, the Pair A-nalysis Set ( SPA) theory was introduced to deal with the uncertainty information between the different standard levels, then the fuzzy pattern recognition model was established to be applied in river systems. The evaluation results showed that the 6 level fuzzy pattern recognition model based on SPA was more ac-curate to determine the water quality comprehensive grade, which could provide theoretical support for the treatment of river water pollution.关键词
模糊模式识别模型/集对分析理论/6级相对最优隶属度/水质评价Key words
fuzzy pattern recognition model/set pair analysis/6-level relative optimal membership de-gree/water quality evaluation分类
资源环境引用本文复制引用
周向华,杨侃,蒋立伟,陈静,刘炜,朱大伟..引入SPA的6级模糊模式识别模型在水质综合评价中的应用[J].水资源与水工程学报,2016,27(6):1-6,6.基金项目
国家重点基础研究发展计划(973计划)(2012CB417006) （973计划）
“十一五”国家科技支撑计划(2009BAC56B03) （2009BAC56B03）
