Methods of comparing interval objects in intelligent computer systems
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Date
2017
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Publisher
National Technical University «KhPI»
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).
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Keywords
interval alternatives, risk estimating techniques, collective risk assessment, -mean-risk approach‖, generalized interval estimates
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.