针对一类特征指标值及指标权重均为三角模糊数的多指标信息聚类问题，提出了一种新的最大树聚类分析方法。
With respect to multiple attribute clustering analysis problems with triangular fuzzy numbers, a new clustering analysis method is proposed.
以小麦群体绿色面积和绿色叶面积指标信息的获取为例，研究了基于图像信息构建自学习BP神经网络识别模型的技术。
A recognition system based on self learning BP neural network for feature data of wheat population images, such as total green areas and leaves areas was designed in this paper.
该方法可以充分吸收各类底层指标信息，把评估指标分散的不确定信息归纳成确切的指标特征值，从而得到较准确、客观的综合评估结果。
The method can absorb all kinds of sporadic, uncertain information and reduce them to certain value of evaluation indexes, so as to obtain the exact and objective result.
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