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研究提出了落叶果树“低量、适量、过量”叶片不同营养状态的隶属函数，定义出散漫化语气算子和判定化语气算子，以最大隶属度原则为依据，建立了落叶果树营养诊断的模糊模型和用于苹果、梨诊断的有关参数。计算分析表明，在用于桃、葡萄等树种时，对有关参数进行修正，此模糊诊断模型适用于落叶果树的营养诊断。
The membership functions of different nutritional status of “low, moderate and excessive” leaves of deciduous fruit trees were proposed and studied. The disoriented mood operator and the semantic operator were defined. Based on the principle of maximum membership degree, the nutrition diagnosis of deciduous fruit tree was established Fuzzy model and related parameters for apple and pear diagnosis. The calculation and analysis show that when used in the peach, grape and other tree species, the relevant parameters are corrected. The fuzzy diagnosis model is suitable for the nutritional diagnosis of the deciduous fruit tree.