
doi: 10.1155/2012/459370
handle: 1959.8/155815
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.
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
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
| 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). | 1 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
