The Way of Adjusting Parameters of the Expert System Shell McESE: New Approach

I. Bruha; F. Franek

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Paper

The Way of Adjusting Parameters of the Expert System Shell McESE: New Approach

In 6th International Workshop on Pattern Recognition in Information Systems - Volume 0ICEIS, 119-126, 2006 , Paphos, Cyprus

Authors: I. Bruha and F. Franek

Affiliation: McMaster University, Canada

Abstract: We have designed and developed a general knowledge representation tool, an expert system shell called McESE (McMaster Expert System Environment); it derives a set of production (decision) rules of a very general form. Such a production set can be equivalently symbolized as a decision tree. McESE exhibits several parameters such as the weights, thresholds, and the certainty propagation functions that have to be adjusted (designed) according to a given problem, for instance, by a given set of training examples. We can use the traditional machine learning (ML) or data mining (DM) algorithms for inducing the above parameters can be utilized. In this methodological case study, we discuss an application of genetic algorithms (GAs) to adjust (generate) parameters of the given tree that can be then used in the rule-based expert system shell McESE. The only requirement is that a set of McESE decision rules (or more precisely, the topology of a decision tree) be given.

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Paper citation in several formats:

Bruha, I. and Franek, F. (2006). The Way of Adjusting Parameters of the Expert System Shell McESE: New Approach. In 6th International Workshop on Pattern Recognition in Information Systems (ICEIS 2006) - PRIS; ISBN 978-972-8865-55-9, SciTePress, pages 119-126. DOI: 10.5220/0002470301190126

@conference{pris06,
author={I. Bruha. and F. Franek.},
title={The Way of Adjusting Parameters of the Expert System Shell McESE: New Approach},
booktitle={6th International Workshop on Pattern Recognition in Information Systems (ICEIS 2006) - PRIS},
year={2006},
pages={119-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002470301190126},
isbn={978-972-8865-55-9},
}

TY - CONF

JO - 6th International Workshop on Pattern Recognition in Information Systems (ICEIS 2006) - PRIS
TI - The Way of Adjusting Parameters of the Expert System Shell McESE: New Approach
SN - 978-972-8865-55-9
AU - Bruha, I.
AU - Franek, F.
PY - 2006
SP - 119
EP - 126
DO - 10.5220/0002470301190126
PB - SciTePress