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Authors: Alexander P. Eremeev and Vadim N. Vagin

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

Keyword(s): Artificial intelligence, Decision support, Expert diagnostic system, Assumption-based truth maintenance system, Case-based reasoning, Knowledge base.

Related Ontology Subjects/Areas/Topics: Applications of Expert Systems ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Case-Based Reasoning ; Enterprise Information Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Knowledge Engineering ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Knowledge-Based Systems Applications ; Pattern Recognition ; Software Engineering ; Symbolic Systems ; Theory and Methods

Abstract: The methods of case-based reasoning for a solution of problems of real-time diagnostics and forecasting in intelligent decision support systems (IDSS) is considered. Special attention is drawn to a case library structure for real-time IDSS and an application of this reasoning type for diagnostics of complex object states. The problem of finding the best current measurement points in model-based device diagnostics with using Assumption-based Truth Maintenance Systems (ATMS) is viewed. The new heuristic approaches of current measurement point choosing on the basis of supporting and inconsistent environments are presented. This work was supported by the Russian Foundation for Basic Research (projects No 08-01-00437 and No 08-07-00212).

CC BY-NC-ND 4.0

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Paper citation in several formats:
P. Eremeev, A. and N. Vagin, V. (2009). METHODS AND TOOLS FOR MODELLING REASONING IN DIAGNOSTIC SYSTEMS. In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-8111-85-2; ISSN 2184-4992, SciTePress, pages 271-276. DOI: 10.5220/0001832902710276

@conference{iceis09,
author={Alexander {P. Eremeev}. and Vadim {N. Vagin}.},
title={METHODS AND TOOLS FOR MODELLING REASONING IN DIAGNOSTIC SYSTEMS},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2009},
pages={271-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001832902710276},
isbn={978-989-8111-85-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - METHODS AND TOOLS FOR MODELLING REASONING IN DIAGNOSTIC SYSTEMS
SN - 978-989-8111-85-2
IS - 2184-4992
AU - P. Eremeev, A.
AU - N. Vagin, V.
PY - 2009
SP - 271
EP - 276
DO - 10.5220/0001832902710276
PB - SciTePress