人民黄河Issue(2)：45-48,4.DOI:10.3969/j.issn.1000-1379.2014.02.015
基于可变模糊识别的黄河下游河道健康评价
Health Assessment Based on Variable Fuzzy Recognition of the Lower Yellow River
摘要
Abstract
In order to get rational river health assessment,the variable fuzzy recognition method was applied in assessing the health of each reach of the Lower Yellow River from 1986 to 2005. The index weight was determined by using binary comparison method. The results show that most of the time the river health of Huayuankou-Gaocun reach is better than others and the Lower Yellow River health status is in overall downward trend during 1986-1999,while during 2000-2005 is in a period of gradual recovery. In a word,the Lower Yellow River reaches have already returned to the sub-health level since 2003,tending to get better. Meanwhile,the evaluation results are verified with the actual condition and comparing with the results of classical fuzzy mathematics,it shows that the variable fuzzy recognition in river health assessment can accurately reflect the health status of the Lower Yellow River.关键词
可变模糊集/可变模糊识别/二元比较法/河道健康/黄河下游河道Key words
variable fuzzy sets/variable fuzzy recognition/binary comparison method/river health/Lower Yellow River分类
建筑与水利引用本文复制引用
任财,陈守煜,周惠成..基于可变模糊识别的黄河下游河道健康评价[J].人民黄河,2014,(2):45-48,4.基金项目
国家自然科学基金资助项目（50979011，51079015）。 （）
