Study on Water Quality Evaluation Based on Data mining

Research about water quality evaluation.The traditional methods of water quality evaluation are influenced by experts' subjective experiences,the evaluation accuracy is not high,and the evaluation result explicable is very poor.In order to improve the water quality evaluation accuracy,the paper put forward a water quality evaluation model based on approximate entropy weight and TOPSIS.Firstly,the water quality evaluation index system was constructed.Secondly,the entropy weight method was used to calculate the weight of each contestant indexes.Finally,TOPSIS was used to calculate the various testing point,combined with ideal solution positive and minus ideal solutions distance.Refering to the water pollution standard,each testing point was obtained.Combined with water pollution levels,relative closeness degrees were used to obtain water pollution values.Research results show that the model of the evaluation result is more precise than fuzzy evaluation,the evaluation illustrate is perfect,and the model is an effective water quality evaluation model.