2012
DOI: 10.1007/s10114-012-9321-1
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On ideal convergence of double sequences in probabilistic normed spaces

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Cited by 8 publications
(7 citation statements)
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“…In 1993, Alsina et al [1] presented a new definition of probabilistic normed space which includes the definition of Sherstnev as a special case. For an extensive view on this subject, we refer ( [2,12,22,23,33,38,40,51,52]). Subsequently, Mursaleen and Mohiuddine [47] and Rahmat [48] studied the ideal convergence in probabilistic normed spaces and V. Kumar and K. Kumar [37] studied I-Cauchy and I * -Cauchy sequences in probabilistic normed spaces.…”
Section: Introductionmentioning
confidence: 99%
“…In 1993, Alsina et al [1] presented a new definition of probabilistic normed space which includes the definition of Sherstnev as a special case. For an extensive view on this subject, we refer ( [2,12,22,23,33,38,40,51,52]). Subsequently, Mursaleen and Mohiuddine [47] and Rahmat [48] studied the ideal convergence in probabilistic normed spaces and V. Kumar and K. Kumar [37] studied I-Cauchy and I * -Cauchy sequences in probabilistic normed spaces.…”
Section: Introductionmentioning
confidence: 99%
“…Mursaleen and Alotaibi [17] studied the notion of ideal convergence for single and double sequences in random 2-normed spaces, respectively. For more details and linked concept, we refer to [18][19][20][21][22][23][24][25][26]. In [27,28], Gähler introduced a gorgeous theory of 2-normed and -normed spaces in the 1960s; we have studied these subjects and constructed some sequence spaces defined by ideal convergence in -normed spaces [29,30].…”
Section: Introductionmentioning
confidence: 99%
“…The concepts of I and I * -convergence, two important generalizations of statistical convergence, were introduced and investigated by Kostyrko et al [6]. The ideas were based on the notion of ideal I of N. Subsequently, a lot of investigations have been done on ideal convergence (see [7][8][9][10][11][12][13][14][15][16][17] where many more references both on ideal as well as statistical convergence can be found). Very recently, ideals were used in a different way to generalize the notion of statistical convergence [18,19] and certain new and summability methods were introduced and their basic properties were investigated.…”
Section: Introductionmentioning
confidence: 99%
“…Şençimen and Pehlivan have very recently extended the notion of strong convergence to strong statistical convergence in probabilistic metric spaces [36] and carried out further investigations on statistical continuity and statistical -boundedness in PN spaces [37,38]. These were followed by the studies of strong ideal convergence in PM and PN spaces in [10,13,39], studies of lacunary statistical 2 Abstract and Applied Analysis convergence in PN spaces in [40]. As a natural extension, we had recently introduced the idea of strong I-statistical convergence in PM spaces [41] and as a followup in this paper we investigate the notion of strong I-statistical limit and cluster points in PN spaces.…”
Section: Introductionmentioning
confidence: 99%