基于关联规则和模糊判据的土地评价方法

Land evaluation method based on association rules and fuzzy decision

为提高土地评价知识表达的可解释性,使评价结果更能反映土地变化的自然规律与本质特征,提出利用关联规则和模糊判据进行土地评价的方法。并利用所提出的方法对广东省的土地进行了评价。试验结果表明,该方法适于从土地评价数据库中挖掘出易于理解的土地评价规则;当最小支持度分别为0.005、0.003和0.001时,挖掘出的土地评价关联规则数分别为32、54和126条,其中,在最小支持度为0.001时,利用126条土地评价关联规则即能获取高达95.25%的土地评价精度。

In order to overcome the shortage of the traditional land evaluation methods and improve the intelligibility and efficiency of the land evaluation knowledge through which evaluation results could better reflect the changes in land with the essential characteristics and the natural law, a land evaluation method combining association rule with fuzzy decision was proposed in this paper. Database was selected from the database of Second General Soil Survey Database of Guangdong Province. The experimental results demonstrate that the proposed method is convenient to extract intelligible land evaluation association rules. When setting the minimum support at 0.005, 0.003 and 0.001, 32, 54 and 126 land evaluation rules can be extracted, respectively, and by using only 126 rules, 95.25% of area correct rate of land evaluation can be obtained.