Two methods for text categorization fuzzy rule extraction are presented based on fuzzy decision tree.
应用多目标模糊决策方法建立了太行山造林树种选择模型。
Then, with the summing-up of pruning methods of decision tree, we make certain the pruning strategy that adapts to dynamic fuzzy decision tree.
总结了决策树的剪枝方法，并给出了动态模糊决策树的剪枝策略。
Typically, the fuzzy decision tree algorithm is an improvement of the crisp decision tree algorithm, and is an extension of the crisp decision tree algorithm.
通常，模糊决策树算法是在清晰决策树算法的基础上进行改进得到的，是对清晰决策树算法的扩展。
Fuzzy decision tree is the generalization of decision tree in fuzzy environment, and the knowledge represented by fuzzy decision tree is more natural to the way of human thinking.
模糊决策树是决策树在模糊环境下的一种推广，它作为一种知识表示形式更符合人类的思维。
Secondly, the case organization method based on the decision tree and case revise method based on the fuzzy reasoning are discussed in detail.
详细讨论了基于决策树的案例组织方法和基于模糊推理的案例修正方法。
Secondly, the case organization method based on the decision tree and case revise method based on the fuzzy reasoning are discussed in detail.
详细讨论了基于决策树的案例组织方法和基于模糊推理的案例修正方法。
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