scholarly journals Assessment of Soil Environment Pollution Based on Fuzzy Pattern Recognition Model

Author(s):  
Xin Huang ◽  
Lin Qiu

As one of the basic elements of the ecosystem and natural environment, the soil is closely related to human life. However, the problem of soil environment pollution is becoming more and more serious, which needs to be solved urgently. It will provide a reference for solving the problem of soil environment pollution if a suitable method can be found to evaluate the degree of soil environment pollution. The degree of soil environment pollution belongs to the fuzzy concept. It is a fuzzy pattern recognition problem to evaluate the degree of soil environment pollution according to the soil environment level standard value. The fuzzy pattern recognition method of soil environment pollution assessment makes full use of the fuzzy characteristics existing in soil environment assessment, considers the common influence of the weight of evaluation factors and the index value, and also considers the correlation between indexes and the similarity of index characteristics of different sampling points, therefore, the interference of some man-made certain factors is concealed. The model was applied to the soil sampling point in Wudi County of Shandong Province in the Yellow River basin of China. The results showed that the evaluation of soil environment pollution by this method accorded with the actual situation and can provide a basis for ensuring the stability of soil ecological environment, improving the quality of cultivated land, and improving regional ecological conditions. At the same time, in view of the current problem of soil environment pollution, the paper calls on human beings to pay attention to environmental protection and be responsible for their own safety and also proposes four aspects of treatment schemes and measures.

1988 ◽  
Vol 8 (2) ◽  
pp. 79-90 ◽  
Author(s):  
Kenneth Unklesbay ◽  
James Keller ◽  
Nan Unklesbay ◽  
Deeka Subhangkasen

2013 ◽  
Vol 423-426 ◽  
pp. 2597-2601
Author(s):  
Cui Xiang Wang

This paper analyzes the sporopollen samples based on the transitive closure method of fuzzy equivalent relation and gets the classification results, while using the F statistic gives the best classification result, and determines its ownership of an unknown class sample by taking advantage of fuzzy pattern recognition methods.


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