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Authors: Miroslav Hudec 1 and Frantisek Sudzina 2

Affiliations: 1 Institute of Informatics and Statistics, Slovak Republic ; 2 Aarhus University, Denmark

ISBN: 978-989-8565-10-5

Keyword(s): Fuzzy Queries, Construction of Fuzzy Sets, Aggregation Operators, Database.

Related Ontology Subjects/Areas/Topics: Advanced Applications of Fuzzy Logic ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: Flexible query conditions could use linguistic terms described by fuzzy sets. The question is how to properly construct fuzzy sets for each linguistic term and apply an adequate aggregation function. For construction of fuzzy sets, the lowest value, the highest value of attribute and the distribution of data inside its domain are used. The logarithmic transformation of domains appears to be suitable. This way leads to a balanced distribution of tuples over fuzzy sets. In addition, users’ opinions about linguistic terms as well as current content in database are merged. The second investigated issue is selection of an adequate aggregation operator. Usual t-norm functions as well as compensatory γ – operator have been examined. Finally, the interface for managing these issues has been proposed. A user can obtain an overview about stored data before running a query; that may reduce empty or overabundant answers.

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Paper citation in several formats:
Hudec, M. and Sudzina, F. (2012). Construction of Fuzzy Sets and Applying Aggregation Operators for Fuzzy Queries.In Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8565-10-5, pages 253-258. DOI: 10.5220/0003968802530258

@conference{iceis12,
author={Miroslav Hudec. and Frantisek Sudzina.},
title={Construction of Fuzzy Sets and Applying Aggregation Operators for Fuzzy Queries},
booktitle={Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2012},
pages={253-258},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003968802530258},
isbn={978-989-8565-10-5},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Construction of Fuzzy Sets and Applying Aggregation Operators for Fuzzy Queries
SN - 978-989-8565-10-5
AU - Hudec, M.
AU - Sudzina, F.
PY - 2012
SP - 253
EP - 258
DO - 10.5220/0003968802530258

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