Supervised classification by fuzzy comprehensive estimation and its application in bioscience

From the angle of pattern recognition, fuzzy comprehensive estimation is one of the most important mathematical methods used to realize supervised classification in pattern recognition. By analyzing the two cases of quantitative diagnosis and adaptability of soil for cultivation, we show the whole process of how it realized the supervised classification. It was proved by a living-example calculation, that the correct determination rate of benign and malignant gastric ulcers reached 100% by using this method. In addition the definite diagnoses rate reached 92.48%. Moreover the accordance rate of pattern estimation of the adaptability for soil cultivation reached 94.4%. Therefore, it has fairly good values in science and applications.