Shepelev, GennadyKhairova, N. F.Kochueva, Zoia2020-12-152020-12-152019Shepelev G. Method "Mean – Risk" for Comparing Poly-Interval Objects in Intelligent Systems [Electronic resource] / G. Shepelev, N. Khairova, Z. Kochueva // Computational linguistics and intelligent systems (COLINS 2019) : proc. of the 3d Intern. Conf., April 18-19, 2019. Vol. I: Main Conference / ed.: V. Lytvyn [et al.]. – Electron. text data. – Lviv, 2019. – P. 12-21. – URL: http://ceur-ws.org/Vol-2362/paper2.pdf, free (accessed 15.12.2020).https://repository.kpi.kharkov.ua/handle/KhPI-Press/49854Problems of comparing poly-interval alternatives under risk in the framework of intelligent computer systems are considered. The problems are common in economy, engineering and in other domains. "Mean-risk" approach was chosen as a tool for comparing. Method for calculation of both main indicators of the "mean-risk" approach – mean and semideviation – for case of polyinterval alternatives is proposed. Method permits to calculate mentioned indicators for interval alternatives represented as fuzzy objects and as generalized interval estimates.eninterval alternativesrisk estimating techniques"mean-risk" approachfuzzy poly-interval objectsgeneralized interval estimatesThesishttps://orcid.org/0000-0002-1037-8977https://orcid.org/0000-0002-9826-0286https://orcid.org/0000-0002-4300-3370