ForschungPublikationen
Detailansicht

How to Gauge a Combination of Uncertainties of Different Type

General Foundations

verfasst von
Ingo Neumann, Vladik Kreinovich, Thach Ngoc Nguyen
Abstract

In many practical situations, for some components of the uncertainty (e.g., of the measurement error) we know the corresponding probability distribution, while for other components, we know only upper bound on the corresponding values. To decide which of the algorithms or techniques leads to less uncertainty, we need to be able to gauge the combined uncertainty by a single numerical value—so that we can select the algorithm for which this values is the best. There exist several techniques for gauging the combination of interval and probabilistic uncertainty. In this paper, we consider the problem of gauging the combination of different types of uncertainty from the general fundamental viewpoint. As a result, we develop a general formula for such gauging—a formula whose particular cases include the currently used techniques.

Organisationseinheit(en)
Geodätisches Institut
Externe Organisation(en)
University of Texas at El Paso
Banking University of Ho Chi Minh City
Typ
Beitrag in Buch/Sammelwerk
Seiten
195-201
Anzahl der Seiten
7
Publikationsdatum
06.08.2020
Publikationsstatus
Veröffentlicht
Peer-reviewed
Ja
ASJC Scopus Sachgebiete
Artificial intelligence
Elektronische Version(en)
https://digitalcommons.utep.edu/cgi/viewcontent.cgi?article=2351&context=cs_techrep (Zugang: Offen)
https://doi.org/10.1007/978-3-030-49728-6_13 (Zugang: Geschlossen)
 

Details im Forschungsportal „Research@Leibniz University“