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Knowledge-Based Decision Support with Self-Learning Methods

Authors:
Klaus Peter Scherer
Constantin Rieder
Markus Germann
Joachim Baumeister
Stefan Plehn

Keywords: computer-aided assistance; self-learning methods; expert system; decision support; intelligent diagnostics; knowledge base

Abstract:
Intelligent systems are available and helpful to support the decision process for diagnostics in complex technical processes. Normally, such a decision support system consists of a knowledge-based module, which is responsible for the real assistance power, given by an explanation and the logical reasoning processes. The knowledge acquisition and generation of the complex knowledge correlations is very crucial, because there are different correlations between the complex parameters. So, in this approach (semi)automated self-learning methods are researched and developed for an enhancement of the quality of such a decision support system.

Pages: 15 to 17

Copyright: Copyright (c) IARIA, 2018

Publication date: November 18, 2018

Published in: conference

ISSN: 2308-4499

ISBN: 978-1-61208-677-4

Location: Athens, Greece

Dates: from November 18, 2018 to November 22, 2018