Methods of comparing interval objects in intelligent computer systems

dc.citation.conferenceComputational linguistics andintelligent systems (COLINS 2017)
dc.contributor.affiliationInstitute for Systems Studies of Federal Research Center ―Computer Science and Control of Russian Academy of Sciences, Moscow, Russiauk_UA
dc.contributor.authorShepelev, Gennady
dc.contributor.authorKhairova, Nina
dc.coverage.countryUAuk_UA
dc.coverage.placenameKharkivuk_UA
dc.date.accessioned2018-02-22T11:47:58Z
dc.date.available2018-02-22T11:47:58Z
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).uk_UA
dc.format.pages100-109
dc.identifier.citationShepelev G. Methods of comparing interval objects in intelligent computer systems / Gennady Shepelev, Nina Khairova // Computational linguistics andintelligent systems (COLINS 2017) : proceedings of the 1st International conference, Kharkiv, Ukraine, 21 April 2017 / National Technical University «KhPI», Lviv Polytechnic National University. – Kharkiv, 2017. – P. 100–109. – Bibliography: 6 titles.uk_UA
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/39463
dc.language.isoenuk_UA
dc.publisherNational Technical University «KhPI»uk_UA
dc.relation.referencesen1. Sternin, M., Shepelev, G. Generalized interval expert estimates in decision making. Doklady Mathematics, vol. 81 issue 3, pp. 1–2 (2010) 2. Khairova, N., Shepelev, G., Sternin, M. Comparing interval alternatives in decisionmaking. In: Proceedings of International Conference MCS-2012, pp.158. Simferopol, Ukraine. (2012) 3. Kochenderfer, M. J. Decision Making Under Uncertainty. MIT Press. (2015). 4. Shepelev, G. Decision-making in groups of interval alternatives. International journal ―Information theories and applications‖, vol. 23, issue 4, pp. 303 – 320 (2016) 5. Nilsson, N. J. Probabilistic logic. Artificial Intelligence, vol. 28, issue 1, pp. 71-87 (1986) 6. Ogryczak, W., Ruszczyński, A. From stochastic dominance to mean-risk models: semideviations as risk measures. European journal of operational research, vol. 116, pp. 33 – 50 (1999)uk_UA
dc.subjectinterval alternativesuk_UA
dc.subjectrisk estimating techniquesuk_UA
dc.subjectcollective risk assessmentuk_UA
dc.subject-mean-risk approach‖uk_UA
dc.subjectgeneralized interval estimatesuk_UA
dc.titleMethods of comparing interval objects in intelligent computer systemsuk_UA
dc.typeConference Abstractuk_UA

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