Compared with some other modeling methods, such as ANFIS, the proposed model is of less computation, higher accuracy, especially for high dimension data modeling.
与其他建模方法相比，如anfis，模糊树模型计算量小，精度高，尤其在高维数据建模中更为明显。
Prediction, modeling and optimization were also done using ANFIS and Fuzzy Multi-Objective optimization.
同时也运用ANFIS和模糊多目标优化进行预测、建模和优化。
The simulation results show that both methods are more powerful than ANFIS method in modeling complicate multi-input systems concerning with efficiency and precision of the model.
具体的仿真试验表明这两种建模方法对于复杂的多输入系统的建模，在效率与精度上比anfis模型及其他模型都要好。
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