DSpace Repository

A CHARACTERIZATION THEOREM FOR LEVELWISE STATISTICAL CONVERGENCE

Show simple item record

dc.creator Aytar, Salih
dc.date 2011-03-31T21:00:00Z
dc.date.accessioned 2020-10-06T10:39:58Z
dc.date.available 2020-10-06T10:39:58Z
dc.identifier 7df17550-9da4-4998-a662-16933221cd59
dc.identifier 10.2298/fil1101133a
dc.identifier https://avesis.sdu.edu.tr/publication/details/7df17550-9da4-4998-a662-16933221cd59/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/64464
dc.description In the present paper, we prove a characterization theorem which gives a necessary and sufficient condition for a sequence of fuzzy numbers to be levelwise statistically convergent in the space of fuzzy numbers. As an application of this theorem we utilize the idea of statistical equi-continuity in order to obtain a condition which guarantees the set of levelwise statistical cluster points of a statistically bounded sequence to be nonempty and a levelwise statistically Cauchy sequence to be levelwise statistically convergent.
dc.language eng
dc.rights info:eu-repo/semantics/openAccess
dc.title A CHARACTERIZATION THEOREM FOR LEVELWISE STATISTICAL CONVERGENCE
dc.type info:eu-repo/semantics/article


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account