- Tytuł:
- Bayes sharpening of imprecise information
- Autorzy:
-
Kulczycki, B.
Charytanowicz, M. - Powiązania:
- https://bibliotekanauki.pl/articles/908526.pdf
- Data publikacji:
- 2005
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
informacja niepewna
współczynnik kondycji
estymator jądrowy
funkcja strat
obliczenia numerycze
imprecise information
sharpening
conditioning factors
kernel estimators
Bayes decision rule
nonsymmetrical loss function
numerical calculations - Opis:
- A complete algorithm is presented for the sharpening of imprecise information, based on the methodology of kernel estimators and the Bayes decision rule, including conditioning factors. The use of the Bayes rule with a nonsymmetrical loss function enables the inclusion of different results of an under- and overestimation of a sharp value (real number), as well as minimizing potential losses. A conditional approach allows to obtain a more precise result thanks to using information entered as the assumed (e.g. current) values of conditioning factors of continuous and/or binary types. The nonparametric methodology of statistical kernel estimators freed the investigated procedure from arbitrary assumptions concerning the forms of distributions characterizing both imprecise information and conditioning random variables. The concept presented here is universal and can be applied in a wide range of tasks in contemporary engineering, economics, and medicine.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2005, 15, 3; 393-404
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł