Evaluation of Agricultural Soil Resources Using Fuzzy Modeling

Dmitry Dmitry Kurtener, Paul Sukhanov

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.


Full Text: PDF DOI: 10.5539/jas.v6n4p199

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

Journal of Agricultural Science ISSN 1916-9752 (Print) ISSN 1916-9760 (Online)

Copyright © Canadian Center of Science and Education

To make sure that you can receive messages from us, please add the 'ccsenet.org' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders.