Open AccessA fuzzy logic inference concerning the degree of greening and resource saving in ecosystems of countries, developing in crisis
Author(s) -
Hanna Kucherova,
Olha Pokataeva,
Olena Chala,
Olha Bilska,
Giuseppe T. Cirella
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/628/1/012029
Subject(s) - greening , resource (disambiguation) , fuzzy logic , computer science , investment (military) , environmental economics , environmental resource management , economics , ecology , artificial intelligence , computer network , biology , politics , political science , law
The article conducts an empirical study to assess the degree of ecosystem greening and resource saving based on the generalization of available scientific and practical data in this field and fuzzy mathematics methods. The parameters of ecosystem greening have been classified according to separate functional areas, as a result, the fuzziness of the boundaries of their nature has been proved. In order to evaluate the level of greening and resource saving, appropriate fuzzy mathematics methods have been validated. Fuzzy linguistic information concerning the degree of greening and resource saving of the country’s ecosystem has been generalized and evaluated, the knowledge base of the rules of fuzzy inference according to the Mamdani algorithm has been built. As a result of evaluation under the said model, it has been proven that the economy greening degree in Ukraine is insufficient, as it corresponds to the low level of the economy modernization, high level of environmental capacity, high rates of non-renewable resources usage, high footprint, low level of environmental and resource payments, low labor cost and investment scope. The scientific value of the approach is that it allows obtaining quantitative results of the evaluation of multifaceted parameters of the ecosystems greening and resource saving, the boundaries of which are not standardized and are of a fuzzy nature. The obtained integrated degree of the ecosystem greening and resource saving helps to simplify managerial decisions on how to increase this value. The practical importance of the proposed model lies in its flexibility in terms of using different parameter sets and general structure, allowing to use it for evaluation of the degree of greening at all levels and for all types of ecosystems.