Please use this identifier to cite or link to this item: http://repository.kpi.kharkov.ua/handle/KhPI-Press/49854
Title: Method "Mean – Risk" for Comparing Poly-Interval Objects in Intelligent Systems
Authors: Shepelev, Gennady
Khairova, N. F.
Kochueva, Zoia
Keywords: interval alternatives; risk estimating techniques; "mean-risk" approach; fuzzy poly-interval objects; generalized interval estimates
Issue Date: 2019
Citation: Shepelev 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).
Abstract: Problems 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.
ORCID: orcid.org/0000-0002-1037-8977
orcid.org/0000-0002-9826-0286
orcid.org/0000-0002-4300-3370
URI: http://repository.kpi.kharkov.ua/handle/KhPI-Press/49854
Appears in Collections:Кафедра "Інтелектуальні комп'ютерні системи"

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