Methods of comparing interval objects in intelligent computer systems
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Дата
2017
Автори
ORCID
DOI
Науковий ступінь
Рівень дисертації
Шифр та назва спеціальності
Рада захисту
Установа захисту
Науковий керівник
Члени комітету
Видавець
Анотація
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).
Опис
Ключові слова
interval alternatives, risk estimating techniques, collective risk assessment, mean-risk approach, generalized interval estimates
Бібліографічний опис
Shepelev 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).