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.
Highlights
In the last decade, the problem of the use of modern information technology in the study of sustainable urban development issues is of particular importance
The method of estimating of real possibilities (full power – P(t)) of the urban environment transport subsystem is based on fuzzy logic equations, which are obtained on the system of logical utterances of knowledge matrix (1)
It is shown that the sustainable development of the urban environment can be achieved by the noospheric control consistent with the law of power saving
Summary
The problem of the use of modern information technology in the study of sustainable urban development issues is of particular importance. Summarizing the above, it should be noted that to ensure optimal noospheric control, it is necessary to assess the potential, real and lost opportunities of the urban environment This estimate should be based on the processing of non-numeric (ordinal), inaccurate and incomplete information. Piecewise-linear functions are used as membership functions for fuzzing fuzzy variables, evaluating potential, real, and lost opportunities of subsystems of the urban environment An example of such functions (Gerasimov et al, 2004) is triangular and trapezoidal, which are defined by expressions: μ(x; a ,b ,c) = bcxc −−−0−,bxxa ,, iiifff 0, if x ≤ a; a < x ≤ b;. This was discussed by Rotshtein (1996) and by Gerasimov et al (2004) We use this matrix to evaluate the potential, real, and lost opportunities of each of the subsystems of the urban environment.
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