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Rule Generation for Scenario based Decision Support System on Public Finance Domain

In Doctoral Consortium - DC3K, 71-82, 2014 , Rome, Italy

Authors: Mesut Çeviker and Özgür Bağlıoğlu

Affiliation: Middle East Technical University, Turkey

Keyword(s): Future Prediction, Rule based System, Rule Generation, Public Finance.

Abstract: This study is a part of a larger project called “Ontology Based Decision Support System”. In this document, we report methodology of the Rule Generation (RG) that is planned to be taken from the knowledge queried from ontology based Knowledge Extraction System (KES). Rule generation aims producing rules for a rule based system, which will be used for future prediction of an organization or an organizational unit. The term “scenario based” implies that the system will do future prediction for possible scenarios of next movements like different budget scheduling scenarios. Future prediction will be limited to the prediction of parameters that the organization is willing to know, such as the parameters related to the objectives and the goals on their strategic plan. In literature, rule generation problems are addressed by variety of different learners; so what we plan is using a learners system with many learners possibly with different types. The system will be valuable for merging an ontology based KES and DSS with future prediction capability. In addition, this will be the first composite system (having mentioned KES+DES) for public finance domain. (More)

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Paper citation in several formats:
Çeviker, M. and Bağlıoğlu, Ö. (2014). Rule Generation for Scenario based Decision Support System on Public Finance Domain. In Doctoral Consortium - DC3K, (IC3K 2014) ISBN Not Available, pages 71-82

@conference{dc3k14,
author={Mesut \c{C}eviker. and Özgür Bağlıoğlu.},
title={Rule Generation for Scenario based Decision Support System on Public Finance Domain},
booktitle={Doctoral Consortium - DC3K, (IC3K 2014)},
year={2014},
pages={71-82},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={Not Available},
}

TY - CONF

JO - Doctoral Consortium - DC3K, (IC3K 2014)
TI - Rule Generation for Scenario based Decision Support System on Public Finance Domain
SN - Not Available
AU - Çeviker, M.
AU - Bağlıoğlu, Ö.
PY - 2014
SP - 71
EP - 82
DO -

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