K.A. Proshunina1, T.V. Khomenko2, Yu.A. Konysheva3

1 Astrakhan State Technical University (Astrakhan, Russia),
2,3 MIREA – Russian Technological University (Moscow, Russia)
1 kseniialexpro@gmail.com, 2 t_v_khomenko@mail.ru

This study addresses the task of developing a comprehensive criterion for evaluating landscaping projects based on the analysis of unstructured text information. The proposed methodology enables the development of a comprehensive criterion for evaluating landscaping projects based on the analysis of unstructured text information from regulatory, scientific, and project documents and includes three data transformation stages. However, an analysis of existing tools revealed a lack of solutions covering all stages of the methodology, which justified the development of algorithmic and software solutions that enable the reliable development of criteria for the quantitative evaluation of landscaping projects for subsequent best selection.

Objective – Implement a methodology for developing a comprehensive criterion for evaluating landscaping projects based on the analysis of unstructured text information, ensuring its verification and the possibility of subsequent use for quantitative evaluation and selection of the best project solutions.

A software module with an original tokenization algorithm and keyword neighborhood construction was implemented. Expert verification enabled the development of a comprehensive criterion consisting of thirteen indicators satisfying the properties of operationality, measurability, minimality, consistency, and completeness. A knowledge base of management actions was created to verify each property. The software module eliminates the need for manual compilation of results.

The proposed management actions allow for adjustments to the composition of indicators when incompleteness or inconsistencies are detected, ensuring the criterion's adaptability to changing conditions in the subject area.

Proshunina K.A., Khomenko T.V., Konysheva Yu.A. Algorithm for developing a comprehensive criterion for evaluating landscaping projects // Nonlinear World. 2026. V. 24. № 3. P. 58–70. DOI: https:// doi.org/10.18127/ j20700970-202603-07

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