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Authors: Vadim Vagin and Alexander Eremeev

Affiliation: Moscow Power Engineering Institute (Technical University), Russian Federation

ISBN: 978-989-8425-54-6

Keyword(s): Artificial Intelligence, Assumption-based Truth Maintenance System, Reasoning by Analogy, Intelligent Diagnosis System, Knowledge Base.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Case-Based Reasoning ; Enterprise Information Systems ; Pattern Recognition ; Symbolic Systems ; Theory and Methods

Abstract: The paper is devoted to research and modeling reasoning based on Assumption-based Truth Maintenance Systems (ATMS) and reasoning by analogy in intelligent diagnosis systems. The new heuristic approaches of current measurement point choosing on the basis of supporting and inconsistent environments are presented. Reasoning by analogy method is viewed. This work was supported by the Russian Fund for Basic Research.

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Paper citation in several formats:
Vagin, V. and Eremeev, A. (2011). REASONING IN INTELLIGENT DIAGNOSIS SYSTEMS.In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8425-54-6, pages 18-25. DOI: 10.5220/0003427400180025

@conference{iceis11,
author={Vadim Vagin. and Alexander Eremeev.},
title={REASONING IN INTELLIGENT DIAGNOSIS SYSTEMS},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2011},
pages={18-25},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003427400180025},
isbn={978-989-8425-54-6},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - REASONING IN INTELLIGENT DIAGNOSIS SYSTEMS
SN - 978-989-8425-54-6
AU - Vagin, V.
AU - Eremeev, A.
PY - 2011
SP - 18
EP - 25
DO - 10.5220/0003427400180025

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