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Authors: Miroslav Hudec 1 and Zuzana Brokešová 2

Affiliations: 1 Faculty of Economic Informatics and University of Economics in Bratislava, Slovak Republic ; 2 Faculty of National Economy and University of Economics in Bratislava, Slovak Republic

ISBN: 978-989-758-255-4

Keyword(s): Financial Literacy, Questionnaire, Data Mining, Quantified Sentence of Natural Language, Flexible Data Summarization, Fuzzy Logic.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Information Retrieval ; Ontologies and the Semantic Web ; Pattern Recognition ; Sensor Networks ; Signal Processing ; Soft Computing ; Software Engineering

Abstract: This paper is focused on mining and interpreting information about effect of financial literacy on individuals’ behavior from the collected data by soft computing approach. Fuzzy sets and fuzzy logic allows us to formalize linguistic terms such as most of, high literacy and the like and interpret mined knowledge by short quantified sentences of natural language. This way is capable to cover semantic uncertainty in data and concepts. The preliminary results in this position paper have shown that for majority of people of low financial literacy angst and other treats represent serious issues, whereas about half of people with high literacy do not consider these treats as significant. Finally, influence of literacy to anchoring questions is mined and interpreted. Eventually, the paper emphasises needs for further data analysis and comparison.

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Paper citation in several formats:
Hudec, M. and Brokešová, Z. (2017). Mining and Linguistically Interpreting Data from Questionnaires - Influence of Financial Literacy to Behaviour.In Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-255-4, pages 249-254. DOI: 10.5220/0006462402490254

@conference{data17,
author={Miroslav Hudec. and Zuzana Brokešová.},
title={Mining and Linguistically Interpreting Data from Questionnaires - Influence of Financial Literacy to Behaviour},
booktitle={Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2017},
pages={249-254},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006462402490254},
isbn={978-989-758-255-4},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Mining and Linguistically Interpreting Data from Questionnaires - Influence of Financial Literacy to Behaviour
SN - 978-989-758-255-4
AU - Hudec, M.
AU - Brokešová, Z.
PY - 2017
SP - 249
EP - 254
DO - 10.5220/0006462402490254

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