STATISTICAL DECISIONS IN PRESENCE OF IMPRECISELY REPORTED ATTRIBUTE DATA

Olgierd Hryniewicz

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Paper

STATISTICAL DECISIONS IN PRESENCE OF IMPRECISELY REPORTED ATTRIBUTE DATA

Topics: Advanced Applications of Fuzzy Logic

In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS, 309-312, 2009 , Milan, Italy

Author: Olgierd Hryniewicz

Affiliation: Systems Research Institute, Polish Academy of Sciences, Poland

Keyword(s): Statistical decisions, Attribute data, Imprecise data, Fuzzy approach, Possibility distribution.

Related Ontology Subjects/Areas/Topics: Advanced Applications of Fuzzy Logic ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems

Abstract: The paper presents a new methodology for making statistical decisions when data is reported in an imprecise way. Such situations happen very frequently when quality features are evaluated by humans. We have demonstrated that traditional models based either on the multinomial distribution or on predefined linguistic variables may be insufficient for making correct decisions. Our model, which uses the concept of the possibility distribution, allows to separate stochastic randomness from fuzzy imprecision, and provides a decision – maker with more information about the phenomenon of interest.

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Paper citation in several formats:

Hryniewicz, O. (2009). STATISTICAL DECISIONS IN PRESENCE OF IMPRECISELY REPORTED ATTRIBUTE DATA. In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-8111-85-2; ISSN 2184-4992, SciTePress, pages 309-312. DOI: 10.5220/0001863003090312

@conference{iceis09,
author={Olgierd Hryniewicz.},
title={STATISTICAL DECISIONS IN PRESENCE OF IMPRECISELY REPORTED ATTRIBUTE DATA},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2009},
pages={309-312},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001863003090312},
isbn={978-989-8111-85-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - STATISTICAL DECISIONS IN PRESENCE OF IMPRECISELY REPORTED ATTRIBUTE DATA
SN - 978-989-8111-85-2
IS - 2184-4992
AU - Hryniewicz, O.
PY - 2009
SP - 309
EP - 312
DO - 10.5220/0001863003090312
PB - SciTePress