Application of Rough Set-SVM Model in the Evaluation on Water quality
Evaluation result will be influenced by excessive factors in evaluating water quality. Firstly, the paper conducts influence factors reduction and extraction of key factors with the help of rough set theory. Then regression analysis based on support vector machine which is small sample method concludes the safe class which the water quality evaluation falls into. Finally, a conclusion of demonstration analysis is obtained which corresponds to practice. The paper also compares effectiveness of the combined model with that of fuzzy comprehensive evaluation, and finds that rough set-SVM model has higher identification accuracy and is consistent with the practice and it is an exploratory method of water quality evaluation.
Rough Set theory SVM water quality evaluation
Ren Fengxiang Zhou Xuanchi Zhang Chao
Department of Economics and Management Jiangxi vocational college of finance and economics Jiujiang, School of mechatronical engineering Beijing institute of technology Beijing, China Educational Technology Center Handan University,Handan, China
国际会议
南宁
英文
156-159
2010-10-13（万方平台首次上网日期，不代表论文的发表时间）