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Lacunary Statistical Limit and Cluster Points of Generalized Difference Sequences of Fuzzy Numbers

Lacunary statistical limit and cluster points of generalized difference sequences of fuzzy numbers
Authors: Pankaj Kumar; Vijay Kumar Kaushik; Satvinder Singh Bhatia;

Lacunary Statistical Limit and Cluster Points of Generalized Difference Sequences of Fuzzy Numbers

Abstract

The aim of present work is to introduce and study lacunary statistical limit and lacunary statistical cluster points for generalized difference sequences of fuzzy numbers. Some inclusion relations among the sets of ordinary limit points, statistical limit points, statistical cluster points, lacunary statistical limit points, and lacunary statistical cluster points for these type of sequences are obtained.

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Australia
Related Organizations
Keywords

lacunary statistical cluster points, QA76.75-76.765, lacunary statistical limit, Inference from stochastic processes, fuzzy numbers, Electrical engineering. Electronics. Nuclear engineering, Computer software, Inference from stochastic processes and fuzziness, TK1-9971

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold