Evaluation of Agricultural Soil Resources Using Fuzzy Modeling

Dmitry Dmitry Kurtener and Paul Sukhanov

Journal of Agricultural Science, 2014, vol. 6, issue 4, 199

Abstract: Assessment of agricultural soil resources is a very difficult because exists knowledge is much fuzzy. Developed fuzzy model is effective tool for dealing with randomness and uncertainties. This model is based on a two-level system of fuzzy indicators. The first level - is individual fuzzy indicators (IFI), reflecting the assessment of individual characteristics. Second level - is combined fuzzy indicators (CFI), reflecting a combination of individual indicators. IFI are developed for the four characteristics of the soil (humus, amount absorbed cations, acidity (pH) and physical clay content). The proposed method is illustrated with a simple example.

Date: 2014
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