基于结构元理论的模糊决策树方法
首发时间:2006-10-19
摘要:决策树方法一直被用于优选较复杂的多级决策问题中,其基本准则是以期望收益作为方案评价的尺度。在现实世界中,模糊决策树往往比清晰决策树更能符合实际情况和人类的思维方式,成为决策树方法的合理推广。而利用结构元理论能够更加有效地解决决策树中的模糊数的四则运算问题,从而得出了这种基于结构元理论的模糊决策树方法。
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Fuzzy Decision Tree Method Based on Structuring Element
Abstract:Decision tree method has always been used in optimization of complicated problems. The schemes should be evaluating according to expected benefit. But fuzzy decision tree method is much better than traditional decision tree method because it quite according to both the truth and human’s thinking way. Furthermore, using structuring element theory can make the fuzzy number four fundamental operations easier. So that’s the fuzzy decision tree method based on structuring element.
Keywords: decision tree fuzzy decision tree structuring element
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