Methods of comparing interval objects in intelligent computer systems

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dc.contributor.authorShepelev, Gennadyen
dc.contributor.authorKhairova, N. F.en
dc.date.accessioned2020-12-14T13:40:28Z
dc.date.available2020-12-14T13:40:28Z
dc.date.issued2017
dc.description.abstractProblems of expert knowledge representation by means of generalized interval estimates approach and using methods of comparing interval alternatives in the framework of intelligent computer systems are considered. The problems are common in economy, engineering and in other domains. Necessity of multi criteria approach to comparing problem that is taking into account both preference criteria and risk ones is shown. It is proposed to use a multi-steps approach to decision-making concerning choice of preferable interval alternatives. It is based on consistent using of different comparing methods: new collective risk estimating techniques, mean-risk‖ approach (for interval-probability situations) and Savage method (for full uncertainty situations).en
dc.identifier.citationShepelev G. Methods of comparing interval objects in intelligent computer systems [Electronic resource] / G. Shepelev, N. Khairova // Computational linguistics and intelligent systems (COLINS 2017) : proc. of the 1st Intern. Conf., 21 April, 2017, Kharkiv, Ukraine. – Electron. text data. – Kharkiv, 2017. – P. 100-109. – URL: http://colins.in.ua/wp-content/uploads/2018/02/colins_2017_102_111.pdf, free (accessed 14.12.2020).en
dc.identifier.urihttps://repository.kpi.kharkov.ua/handle/KhPI-Press/49837
dc.language.isoen
dc.subjectinterval alternativesen
dc.subjectrisk estimating techniquesen
dc.subjectcollective risk assessmenten
dc.subjectmean-risk approachen
dc.subjectgeneralized interval estimatesen
dc.titleMethods of comparing interval objects in intelligent computer systemsen
dc.typeThesisen

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Кафедра "Інтелектуальні комп'ютерні системи"