Statistical convergence of double sequences in fuzzy normed spaces
Author(s) -
S. A. Mohiuddine,
Hamdullah Şevli̇,
Murat Cancan
Publication year - 2012
Publication title -
filomat
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.449
H-Index - 34
eISSN - 2406-0933
pISSN - 0354-5180
DOI - 10.2298/fil1204673m
Subject(s) - mathematics , cauchy sequence , fuzzy logic , cauchy distribution , limit point , normed vector space , limit (mathematics) , class (philosophy) , convergence (economics) , point (geometry) , discrete mathematics , pure mathematics , statistics , mathematical analysis , artificial intelligence , computer science , geometry , economics , economic growth
In this paper, we study the concepts of statistically convergent and statistically Cauchy double sequences in the framework of fuzzy normed spaces which provide better tool to study a more general class of sequences. We also introduce here statistical limit point and statistical cluster point for double sequences in this framework and discuss the relationship between them
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