论文部分内容阅读
为提高土地评价知识表达的简易性和可解释性,提出利用精简模糊分类关联规则和模糊判决进行土地评价的方法.为了降低土地评价模型的复杂程度,提高模糊关联规则分类的有效性和可解释性,本文通过精简模糊分类关联规则,去除了冗余规则,并针对了模糊判决中难以判决的问题,提出分组模糊判决算法进行迭代.实验表明,在采用32条精简规则的情况下,结合精简模糊分类关联规则和分组模糊判决进行土地评价方法获得准确率为92.2835%,比精简前在最小支持度为0.005的情况下得到的32条模糊分类关联规则准确率提高了5.0039%.
In order to improve the simplicity and interpretability of land evaluation knowledge expression, this paper puts forward the method of land evaluation by streamlining fuzzy classification association rules and fuzzy decision.In order to reduce the complexity of land evaluation model and improve the validity and interpretability of fuzzy association rules classification In this paper, by simplifying the fuzzy classification association rules, the redundant rules are removed and aiming at the problems that are difficult to be decided in the fuzzy decision, a group fuzzy decision algorithm is proposed to iterate.Experiments show that in the case of adopting 32 simplification rules, Fuzzy classification association rules and group fuzzy decision-making method were 92.2835%, which improved the accuracy of 32 fuzzy classification association rules by 5.0039% compared with the minimum support of 0.005 before streamlining.