STATISTICAL DECISIONS IN PRESENCE OF IMPRECISELY REPORTED ATTRIBUTE DATA

Olgierd Hryniewicz

2009

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.

Paper Citation

in Harvard Style

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, pages 309-312. DOI: 10.5220/0001863003090312

in Bibtex Style

@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},
}

in EndNote Style

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
AU - Hryniewicz O.
PY - 2009
SP - 309
EP - 312
DO - 10.5220/0001863003090312