Use of virtualization and container technology for information infrastructure generation

Valery V. Trofimov, Vladimir I. Kiyaev, Stanislav M. Gazul

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

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 languageEnglish
Title of host publicationProceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017
EditorsS. Shaposhnikov
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages788-791
Number of pages4
ISBN (Electronic)9781538618103
DOIs
StatePublished - 6 Jul 2017
Event20th IEEE International Conference on Soft Computing and Measurements, SCM 2017 - St. Petersburg, Russian Federation
Duration: 24 May 201726 May 2017

Publication series

NameProceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017

Conference

Conference20th IEEE International Conference on Soft Computing and Measurements, SCM 2017
CountryRussian Federation
CitySt. Petersburg
Period24/05/1726/05/17

Scopus subject areas

  • Management Science and Operations Research
  • Control and Optimization
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Modelling and Simulation

Keywords

  • comparative analysis
  • expert criteria
  • state of plant species

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