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Estimation of metabolic flows of urban environment based on fuzzy expert knowledge

    Igor Patrakeyev   Affiliation
    ; Victor Ziborov   Affiliation
    ; Oleksii Mikhno   Affiliation

Abstract

The quality and comfort of the urban environment serve as one of the most important factors for ensuring the competitiveness of municipalities, regions and countries. The quality of the urban environment is determined by the quality of its three components: anthropogenic, natural and social environment. The main problem of assessing the state of the urban environment is the fragmentation of methodological approaches and adequate tools for assessing the qualitative state of the urban environment. This objectively makes it difficult for municipal authorities to use this assessment as an element in the system of urban planning decision making. We have developed an intelligent information system to provide an assessment of potential, real and lost opportunities of the urban environment using fuzzy expert knowledge. This system operates in the conditions of using non-numeric, inaccurate and incomplete information to ensure the management of sustainable city development. The system for assessing the potential, real and lost opportunities of the urban environment is based on the use of fuzzy logic equations. It allows to evaluate the effectiveness of metabolic transformations of each subsystem of the urban environment.

Keyword : knowledge base, if–then rules, fuzzy logic, expert system, the metabolism of the urban environment

How to Cite
Patrakeyev, I., Ziborov, V., & Mikhno, O. (2020). Estimation of metabolic flows of urban environment based on fuzzy expert knowledge. Geodesy and Cartography, 46(1), 8-16. https://doi.org/10.3846/gac.2020.8560
Published in Issue
Apr 3, 2020
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