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Authors: Chun-Che Huang ; Shian-Hua Lin ; Zhi-Xing Chen and You-Ping Wang

Affiliation: National Chi Nan University, Taiwan

ISBN: 978-989-8565-59-4

Keyword(s): Concept Hierarchy, Rough Set Theory, Rule Induction, Decision Making.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Problem Solving ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: Hierarchical attributes are usually predefined in real-world applications and can be represented by a concept hierarchy, which is a kind of concise and general form of concept description that organizes relationships of data. To induct rules from the qualitative and hierarchical nature in data, the rough set approach is one of the promised solutions in data mining. However, previous rough set approaches induct decision rules that contain the decision attribute in the same hierarchical level. In addition, comparison of the reducts using the Strength Index (SI), which is introduced to identify meaningful reducts, is limited to same number of attributes. In this paper, a hierarchical rough set (HRS) problem is defined and the solution approach is proposed. The proposed solution approach is expected to increase potential benefits in decision making.

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Paper citation in several formats:
Huang, C.; Lin, S.; Chen, Z. and Wang, Y. (2013). A Rule Induction with Hierarchical Decision Attributes.In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-59-4, pages 95-102. DOI: 10.5220/0004410900950102

@conference{iceis13,
author={Chun{-}Che Huang. and Shian{-}Hua Lin. and Zhi{-}Xing Chen. and You{-}Ping Wang.},
title={A Rule Induction with Hierarchical Decision Attributes},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2013},
pages={95-102},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004410900950102},
isbn={978-989-8565-59-4},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A Rule Induction with Hierarchical Decision Attributes
SN - 978-989-8565-59-4
AU - Huang, C.
AU - Lin, S.
AU - Chen, Z.
AU - Wang, Y.
PY - 2013
SP - 95
EP - 102
DO - 10.5220/0004410900950102

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