Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Proposes an approach to assessing the state of plant species (based on an example of assessing the state of large-leaved linden) in urban environment on the basis of fuzzy information from a group of experts. Formalization of the expert information is carried out on the basis of complete orthogonal semantic spaces. The proposed approach allows to avoid mistakes in the assessment of a single expert. Assessment of plant species needed for prediction of their state and landscaping plan.
| Original language | English |
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| Title of host publication | Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017 |
| Editors | S. Shaposhnikov |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 788-791 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781538618103 |
| DOIs | |
| State | Published - 6 Jul 2017 |
| Event | 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017 - St. Petersburg, Russian Federation Duration: 24 May 2017 → 26 May 2017 |
| Name | Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017 |
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| Conference | 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017 |
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| Country/Territory | Russian Federation |
| City | St. Petersburg |
| Period | 24/05/17 → 26/05/17 |
ID: 76018487