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.