Summary
Life times, health data, and general quality of life data are often not adequately represented by precise numbers or classes. Such data are called nonprecise or fuzzy, because their quantitative characterization is possible by so-called non-precise numbers. To analyze such data a more general concept than fuzzy numbers from the theory of fuzzy sets is necessary. A suitable concept are so-called non-precise numbers. Generalized methods to analyze such data are available, and basic methods for that are described in the paper.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Filzmoser, P., Viertl, R.: Testing hypotheses with fuzzy data: The fuzzy p-value. Metrika, 59 (2004)
Onisawa, T., Kacprzyk, J. (Eds.): Reliability and Safety Analyses under Fuzziness. Physica-Verlag, Heidelberg (1995)
Trutschnig, W., Hareter, D.: Fuzzy Probability Distributions. In: Lopéz-Diaz, M. et al. (eds.) Soft Methodology and Random Information Systems. Springer-Verlag, Berlin (2004)
Viertl, R.: Statistical Methods for Non-Precise Data. CRC Press, Boca Raton, Florida (1996)
Viertl, R.: Nonprecise Data. in: Encyclopedia of Statistical Sciences-Update, Volume 3. Wiley, New York (1999)
Viertl, R.: On the Description and Analysis of Measurements of Continuous Quantities. Kybernetika, 38 (2002)
Viertl, R., Hareter, D.: Fuzzy information and imprecise probability. ZAMM-Journal of Applied Mathematics and Mechanics, 84, No. 10–11 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer Science+Business Media, Inc.
About this paper
Cite this paper
Viertl, R. (2006). On the Analysis of Fuzzy Life Times and Quality of Life Data. In: Nikulin, M., Commenges, D., Huber, C. (eds) Probability, Statistics and Modelling in Public Health. Springer, Boston, MA. https://doi.org/10.1007/0-387-26023-4_30
Download citation
DOI: https://doi.org/10.1007/0-387-26023-4_30
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-26022-8
Online ISBN: 978-0-387-26023-5
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)