The fusion estimating algorithm of hydrophobic level based on D-S evidence theory

A fusion decision algorithm of hydrophobic level is proposed according to the analysis of D-S evidence theory. The area, shape and analysis of hydrophobicity are considered as the characteristics of the three classifiers, and then the basic probability assignment function is calculated by adopting fuzzy rules. The results of the three classifiers are estimated using the composite law of D-S evidence theory. Experiment results show that the method can improve the accuracy and reliability of hydrophobic level identification effectively, and meet the needs of on-line hydrophobic monitoring.