Open AccessConceptual model for examining knowledge maps adoption in ecosystem of megacities
Author(s) -
Igor Mamai,
A. V. Gayer
Publication year - 2022
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/981/3/032076
Subject(s) - computer science , conceptual model , fuzzy logic , ecosystem , decision support system , quality (philosophy) , environmental resource management , artificial intelligence , ecology , environmental science , philosophy , epistemology , database , biology
The high anthropogenic load on the ecosystems of megalopolises necessitates the search for non-trivial ways to maintain and preserve the quality of life based on intelligent decision support systems. The introduction of knowledge maps into the ecosystems of megalopolises is associated with the need to develop conceptual decision-making models. It is proposed to use neuro-fuzzy networks as a basis for constructing such models. Scientific and methodological approaches to the evolutionary construction of decision rules for knowledge maps based on a system of criteria are developed. The proposed approaches were implemented in the form of a program that allows building knowledge maps based on the resolution of environmental and socio-economic factors of load on the ecosystems of megalopolises.