EconPapers    
Economics at your fingertips  
 

Description of Uncertain Structural Parameters as Fuzzy Random Variables

Bernd Möller () and Michael Beer ()
Additional contact information
Bernd Möller: Dresden University of Technology, Institute of Structural Analysis (Lehrstuhl für Statik)
Michael Beer: Dresden University of Technology, Institute of Structural Analysis (Lehrstuhl für Statik)

Chapter 4 in Fuzzy Randomness, 2004, pp 109-134 from Springer

Abstract: Abstract Structural parameters that possess the uncertainty characteristic fuzzy randomness are modeled as fuzzy random variables [119, 124]. For each fuzzy random variable it is necessary to generate the fuzzy probability distribution function, the fuzzy probability density function, and the associated fuzzy parameters on the basis of limited statistical data material. The data material possesses stochastic and nonstochastic properties, the latter resulting in particular from informal uncertainty or uncertainty due to fluctuating reproduction conditions.

Date: 2004
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:sprchp:978-3-662-07358-2_4

Ordering information: This item can be ordered from
http://www.springer.com/9783662073582

DOI: 10.1007/978-3-662-07358-2_4

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-05-12
Handle: RePEc:spr:sprchp:978-3-662-07358-2_4