MODELLING HUMAN REASONING IN INTELLIGENT DECISION SUPPORT SYSTEMS

V. N. Vagin, A. P. Yeremeyev

Abstract

Methods of analogy-based solution searches in intelligent decision support systems are considered. The special attention is drawn to methods based on a structural analogy that use the analogy of properties and relations and take the context into account. Besides the problem of concept generalization is viewed. Several algorithms based on the rough set theory are compared and the possibility to use them for generalization of data stored in real-world databases is tested.

References

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Paper Citation


in Harvard Style

N. Vagin V. and P. Yeremeyev A. (2007). MODELLING HUMAN REASONING IN INTELLIGENT DECISION SUPPORT SYSTEMS . In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-972-8865-89-4, pages 277-282. DOI: 10.5220/0002355502770282


in Bibtex Style

@conference{iceis07,
author={V. N. Vagin and A. P. Yeremeyev},
title={MODELLING HUMAN REASONING IN INTELLIGENT DECISION SUPPORT SYSTEMS},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2007},
pages={277-282},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002355502770282},
isbn={978-972-8865-89-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - MODELLING HUMAN REASONING IN INTELLIGENT DECISION SUPPORT SYSTEMS
SN - 978-972-8865-89-4
AU - N. Vagin V.
AU - P. Yeremeyev A.
PY - 2007
SP - 277
EP - 282
DO - 10.5220/0002355502770282