Fuzzy相似优先比鉴别海面溢油

Identification of oils Spilt at Sea Surface Based on a Fuzzy Similarity Preference Ratio

建立了海面溢油鉴别的Ｆｕｚｚｙ相似优先比模式，提出了油种塑别的Ｆｕｚｚｙ相似优先比置信水平λ的模糊区概念。海面溢油鉴别主要受油种、实验误差和风化的影响．任丘原油风化１个月同其它１３种油可鉴别的Ｆｕｚｚｙ相似优先比置信水平的范围为０．００５８１９≤λ≤０．０４６４１，大庆原油在海面上风化２８ｄ同其它５种油可鉴别的范围为０．１１０１≤λ≤０．２５１０。海面溢油鉴别结果表明，本法较指纹谱图辨识法准确度高。

A model based on a fuzzy similarity preference ratio has been established to identify different kinds of oils spilt at sea surface, by introducing a concept of the fuzzy area of confidence level of a fuzzy similarity preference ratio. The identification of oils spilt at sea surface was found being largely influenced by kinds of oils, experimental errors, and weathering of oils. A Renqiu crude oil after a 30 days weathering was found to have an identifiable confidence level of fuzzy similarity preference ratio in the range of 0. 005819 to 0. 04641 making it different froal other 13 kinds of oils. A Daqing crude oil after a 28 days weathering at sea surface was found to have such an identifisble confidence level in the range of 0. 1101 to 0. 2510 inclusive making it different from other 5 kinds of Oils. The result from the actual identification of oils spilt at cea surface show that the present method was more precise than a fingerprint spectrograms-based identification method.