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关于土壤质量评价的方法有很多,如层次分析法、模糊评价法、主成分分析法等,然而这些方法普遍存在着主观“权重”问题。基于此,将突变理论和模糊数学相结合产生出的突变模糊隶属函数法应用到土壤质量评价中,对公乌素引洪淤地后改良土壤肥力进行评价,与层次分析法进行了比较。结果表明:其评价结果基本一致,论证了突变模糊隶属函数法的可行性;此方法一个特点是不需要确定权重,它是计算矛盾的一种方法,是把评价指标看成是矛盾的主要方面和次要方面,本质是运用归一公式把系统内的诸矛盾方面(评价指标)不同质态的矛盾转化为同一质态。此方法很大程度上减少了人为的主观性问题;同时,与传统方法相比,突变模糊隶属函数只需要确定各评价指标的相对重要性程度排列顺序,减少了人为的主观性问题;计算量小,便于应用;模型应用相对简单,不需要知道特殊的内部机制。
There are many methods to evaluate soil quality, such as analytic hierarchy process, fuzzy evaluation method and principal component analysis. However, there is a widespread subjective “weight ” problem in these methods. Based on this, the mutation fuzzy membership function method, which is a combination of mutation theory and fuzzy mathematics, is applied to the evaluation of soil quality to evaluate the improvement of soil fertility after gravitation floods and the comparison with AHP. The results show that the evaluation results are basically the same, and the feasibility of the mutation fuzzy membership function method is demonstrated. One of the characteristics of this method is that it does not need to determine the weight. It is a method to calculate the contradiction, which is regarded as the main aspect of the contradiction And on the secondary side, the essence is to use the normalization formula to turn the contradictions of different qualitative states in the system’s contradictions (evaluation indicators) into the same qualitative state. Compared with the traditional method, the mutated fuzzy membership function only needs to determine the order of the relative importance of each evaluation index and reduce the man-made subjectivity. The computational cost Small, easy to use; model application is relatively simple, do not need to know the special internal mechanism.