模糊逻辑在土壤和马铃薯镉浓度监测中的效果分析(以达马万市为例)

Maryam Valadkhani, Shahrzad Khoramnejadian, H. Radnezhad
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摘要

由于自然现象的复杂性、不确定性和自然动态性,模糊逻辑为决策和推理的数学形成和准备提供了模糊性。本文分析了模糊解释法(定性镉测量法)在估计达马万省阿布萨特8块农田土壤和马铃薯产品中镉含量中的准确性。利用火焰原子吸收光谱仪和石墨炉原子吸收光谱仪三次测定了土壤的一些理化特征以及土壤和马铃薯中镉的富集量,并通过Matlab工具箱中的Mamdani推理系统进行了分析。马铃薯和路边农田镉含量超标;因此,它说明了该地区镉的高毒性。结果表明,模糊逻辑(if-then规则)由于考虑了土壤各特性的影响以及参数与植物类型之间的复杂关系,是评价土壤和产品中镉浓度更为合适和准确的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analyzing the Efficacy of Fuzzy logic in the Concentration of Cadmium in Soil and Potatoes (Case Study in Absard City of Damavand)
Owing to complexity, uncertainty in natural phenomena and natural dynamism, Fuzzy logic puts the obscurities in mathematical formation and preparation for decision-making and reasoning. The present analysis represents the accuracy of Fuzzy interpretation (qualitative measurement of cadmium) in estimating the concentration of cadmium in soil and the potato product in 8 pieces of farmland in Absard, Damavand. Some physical and chemical features of soil, together with the amount of cadmium concentrated in soil and potatoes, were measured three times by Flame and Graphite Furnace Atomic Absorption Spectrometer and were analyzed through Mamdani Inference System by Toolbox of Matlab. The cadmium in potatoes and roadside farmlands was measured to be more than the standard amount; therefore, it illustrates high cadmium toxicity in the mentioned area. It is concluded that Fuzzy logic (the rule of if-then) has a more appropriate and accurate approach to evaluating the concentration of cadmium in soil and product regarding the attention that is paid to the impact of all the characteristics of soil and the complex relationship among the parameters and plant type.
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