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Method of Integral Assessment of Soil Quality in Rural-Urban Areas Based on the Fuzzy Logic
Author(s) -
О. А. Иващук,
Vjacheslav I. Fedorov,
Alexandr V. Koskin,
Natalia V. Shcherbinina,
Maxim D. Zhuravlev
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i4.36.22702
Subject(s) - fuzzy logic , meaning (existential) , quality (philosophy) , mathematics , fuzzy inference , point (geometry) , membership function , function (biology) , rural area , soil quality , computer science , fuzzy set , soil water , artificial intelligence , adaptive neuro fuzzy inference system , epistemology , environmental science , soil science , fuzzy control system , political science , philosophy , geometry , evolutionary biology , law , biology
This article proposes a method of integral assessment of soil quality in rural-urban areas based on the fuzzy logic, both from the standpoint of the possibility of living in a given territory, and from the point of view of the possibility of keeping subsidiary farming. There are determined the linguistic variables describing the main soils components of rural-urban areas and terms describing the meaning of these variables. There are constructed the membership function that determine the ratio of the measured soil quality parameters to the terms and the rules of fuzzy inference. The authors developed an algorithm that describes this method.

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