棉花质量的模糊分级方法探讨

On Fuzzy Classification of Cotton Quality

利用模糊数学中的模糊聚类思想,本文提出了一套新的评定棉花质量的方法、步骤。其对专家经验的符合率达85％,预报率达100％。它表明可以用该方法替代专家进行评定。

The qualitative indexes of cotton quality are quanif ied and the quantitive indexes are normalized by using the concept of the membership function. A mathematical model fo rfuzzy multifactor evaluation of cotto nquality is developed and a new classifying method is proposed byusing the concept of fuzzy cluster analysis. The ratio of fitting of the results given by the model to those given by experts has reached 85% for the evaluation sample SM and 100% for the check sample SN. This proves the correctness and feasibility of the model proposed.