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建立了灰色关联度分析的海面溢油鉴别模式，给出了常见的１４种油鉴别的灰色关联度分析值，提出了油种受风化和实验误差影响而造成其关联度不可辨识的模糊区的概念。任丘原油和０＃轻柴油实验误差和风化的关联度模糊区分别为１≥ｒ＿（０ｉ）≥０．９８０５和１≥ｒ＿（０ｉ）≥０．９１４９，３０＃重柴油风化的关联度模糊区为１≥ｒ＿（０ｉ）≥０．９６４７，大庆原油和２０＃重柴油实验误差的关联度模糊区分别为１≥ｒ＿（０ｉ）≥０．９３５９和１≥ｒ＿（０ｉ）≥０．９３６３．使用油种的关联度模糊区域值和关联度的择近原则，可以鉴别常见的１４种油．海面溢油案例的鉴别结果表明，本方法同Ｅｕｃｌｉｄ贴近度聚类分析一样，较指纹谱图辨识法的准确度高。
A gray relational analysis model was established to identify the oil spill in the sea surface, and the common analysis values of the gray relational grade in 14 oil samples were given. The fuzzy areas that the oil species were indistinctly affected by weathering and experimental errors were proposed concept. The fuzzy regions of the correlation degree between experiment error and weathering of Renqiu crude oil and 0 # diesel oil were 1 ≧ r_ (0i) ≥0.9805 and 1≥r_ (0i) ≥0.9149, respectively. The correlation degree of 30 # heavy diesel weathering was vague (0i) ≥0.9647, the fuzzy regions of correlation degree between experimental error of Daqing crude oil and 20 # heavy diesel oil are 1≥r_ (0i) ≥0.9359 and 1≥r_ (0i) ≥0.9363 . Using the fuzzy relationship between the degree of correlation and degree of proximity of the principle, you can identify the common 14 kinds of oil. The identification results of the case of oil spill on the sea surface show that the accuracy of this method is the same as that of Euclid’s approach clustering analysis.