FUZZY DIAGNOSTİCS OF SOİLS ACCORDİNG TO THE WORLD REFERENCE BASE FOR SOİL RESOURCES

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DOI: https://doi.org/10.20998/2522-9052.2020.1.02
Keywords:
information model, soil, fuzzy technologies, soil classification, diagnostic horizon, diagnostic parameters

Main Article Content

Samira Afrasiyab Hasanova
Control Systems Institute of Azerbaijan National Academy of Sciences
https://orcid.org/0000-0002-1595-6107
Adalat Bakhtiyar Pashayev
Control Systems Institute of Azerbaijan National Academy of Sciences; Baku
https://orcid.org/0000-0001-9208-8430
Elhan Nariman Sabziev
Kiber Ltd Company, Baku
https://orcid.org/0000-0001-8150-9439

Abstract

Soil classification remains one of the most controversial topics in the world soil science because of differences in the principles underlying it. As of today, many countries have developed and use their own national classifications. Since scientific classification facilitates successful investigation and proper use of soils, the issue arises of representation of one classification in another. In the paper the possibility of applying fuzzy technologies to soil diagnostics based on the World Reference Base for Soil Resources is considered. A trapezoidal form of membership functions of the parameter set of diagnostic horizons is proposed. The algorithm of fuzzy diagnostics is presented on the basis of the proposed functions. Conclusion. The paper proposes a fuzzi fication mechanism for the set of indicators of diagnostic parameters and describes the algorithm of the system of fuzzy inference about the identification of the values of the corresponding parameters in accordance with the compositional inference rule. Thus, the effectiveness of the use of fuzzy technologies in soil diagnostics by the World Reference Base for Soil Resources is demonstrated.

Article Details

How to Cite
Hasanova, S. A., Pashayev, A. B., & Sabziev, E. N. (2020). FUZZY DIAGNOSTİCS OF SOİLS ACCORDİNG TO THE WORLD REFERENCE BASE FOR SOİL RESOURCES. Advanced Information Systems, 4(1), 11–15. https://doi.org/10.20998/2522-9052.2020.1.02
Issue
Vol. 4 No. 1 (2020): Advanced Information Systems
Section
Identification problems in information systems
Author Biographies

Samira Afrasiyab Hasanova, Control Systems Institute of Azerbaijan National Academy of Sciences

Scientific researcher

Adalat Bakhtiyar Pashayev, Control Systems Institute of Azerbaijan National Academy of Sciences; Baku

Head of laboratory

Elhan Nariman Sabziev, Kiber Ltd Company, Baku

Head of department

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