Open AccessModeling of an intellectual system for assessing the environmental safety of irrigated lands using fuzzy logic methods
Author(s) -
V A Kuzmin,
К Е Токарев,
A. Yu Rudenko,
Tatyana Pleshchenko
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/577/1/012008
Subject(s) - computer science , fuzzy logic , set (abstract data type) , environmental security , membership function , function (biology) , representation (politics) , state space , environmental safety , fuzzy set , data mining , variety (cybernetics) , zoning , inference , artificial intelligence , mathematics , engineering , civil engineering , medicine , statistics , human health , environmental health , evolutionary biology , politics , political science , law , biology , programming language
The article is attempted to use the mathematical apparatus of fuzzy logic for processing the initial data of the model of an intellectual system for assessing the environmental safety of irrigated agricultural land and assessing the risks arising in the course of economic activity in the conditions of differentiated placement of crops. There is a proposed scheme for formalizing indicators set at a qualitative level which is based on membership functions. To determine the form of the membership function, limit, critical and high values of the level of environmental safety are identified. When describing model elements, we use a set of fuzzy situations that characterize the space of possible states of these elements, as well as a set of relationships between them. The assignment of communications that fuzzily is characterized the degree of influence between the typical states of pairs of elements allows the formation of production models in the form of a variety of fuzzy rules. The quantitative result of the interaction of elements is determined on the basis of fuzzy inference. The representation of the proposed model allows us to obtain an integrated assessment of the state of environmental safety of land and comparative characteristics of the magnitude of security threats are based on their automated assessment. The implementation of the proposed model allows us to obtain an integrated assessment of the state of environmental safety of land and comparative characteristics of the magnitude of security threats based on their automated assessment. Zoning environmental security threats are based on model. The developed model allows us to formulate recommendations on the set of necessary measures to prevent damage and minimize losses, as well as to evaluate the effectiveness of their execution in each specific case.