Strong law of large numbers with respect to a fuzzy probability measure
Dan Ralescu ()
METRON, 2013, vol. 71, issue 3, 206 pages
Abstract:
We describe the concepts of fuzzy probability measure and the expected value (integral) of a random vector in this framework. The main result presented here is a strong law of large numbers with respect to a fuzzy probability measure. This framework is useful in Bayesian inference with a prior containing a mixture of probabilistic-fuzzy information. Copyright Sapienza Università di Roma 2013
Keywords: Set-valued measure; Fuzzy sets; Fuzzy probability; Strong law of large numbers (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1007/s40300-013-0022-z (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:metron:v:71:y:2013:i:3:p:201-206
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/40300
DOI: 10.1007/s40300-013-0022-z
Access Statistics for this article
METRON is currently edited by Marco Alfo'
More articles in METRON from Springer, Sapienza Università di Roma
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().