Methods of comparing interval objects in intelligent computer systems
| dc.citation.conference | Computational linguistics andintelligent systems (COLINS 2017) | |
| dc.contributor.affiliation | Institute for Systems Studies of Federal Research Center ―Computer Science and Control of Russian Academy of Sciences, Moscow, Russia | uk_UA |
| dc.contributor.author | Shepelev, Gennady | |
| dc.contributor.author | Khairova, Nina | |
| dc.coverage.country | UA | uk_UA |
| dc.coverage.placename | Kharkiv | uk_UA |
| dc.date.accessioned | 2018-02-22T11:47:58Z | |
| dc.date.available | 2018-02-22T11:47:58Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Problems 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.pages | 100-109 | |
| dc.identifier.citation | Shepelev 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.uri | https://ena.lpnu.ua/handle/ntb/39463 | |
| dc.language.iso | en | uk_UA |
| dc.publisher | National Technical University «KhPI» | uk_UA |
| dc.relation.referencesen | 1. 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.subject | interval alternatives | uk_UA |
| dc.subject | risk estimating techniques | uk_UA |
| dc.subject | collective risk assessment | uk_UA |
| dc.subject | -mean-risk approach‖ | uk_UA |
| dc.subject | generalized interval estimates | uk_UA |
| dc.title | Methods of comparing interval objects in intelligent computer systems | uk_UA |
| dc.type | Conference Abstract | uk_UA |