可信性理论中双序列的空缺统计收敛性

IF 2.4 4区 计算机科学 Q2 COMPUTER SCIENCE, THEORY & METHODS
R. Savaş, M. Gürdal
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引用次数: 0

摘要

在1951年,统计收敛的概念是一个比Fast提出的收敛概念更普遍的概念。此后,越来越多的研究者开始研究统计收敛问题。另一方面,李在2006年开始了对可信度理论的调查,并提出了可信度理论中的一些收敛概念。由于可信性理论和可归纳性理论的深奥性,文献主体受到了限制。因此,两种理论唯一可以理解的概念是普林斯海姆极限。本文的目的是通过可和性方法对可信度理论进行自然的多维扩展。为了实现这一点,本文给出了一些有用的工具,将众所周知的收敛定义推广到可信性理论中双序列的空白统计收敛概念。此外,一些重要的结果和例子将被检查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On lacunary statistical convergence of double sequences in credibility theory
In 1951, the notion of statistical convergence was a more general concept than the idea of convergence as by presented by Fast. Since then statistical convergence has been was investigated by more and more researchers. On the other hand, in 2006 Li has began the survey of credibility theory and presented some convergence concepts in credibility theory. Because of the esoteric of both credibility and summability theory, the body of literature is limited. As such the only accessible notion to both theories is Pringsheim limits. The goal of this paper is to present a natural multidimensional extension of credibility theory via summability methods. To accomplish this, in this paper we present useful tools to generalize the well-known convergence definition to the concept of lacunary statistical convergence for double sequences in credibility theory. Additionally, some important results and examples will be examined.
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来源期刊
International Journal of General Systems
International Journal of General Systems 工程技术-计算机:理论方法
CiteScore
4.10
自引率
20.00%
发文量
38
审稿时长
6 months
期刊介绍: International Journal of General Systems is a periodical devoted primarily to the publication of original research contributions to system science, basic as well as applied. However, relevant survey articles, invited book reviews, bibliographies, and letters to the editor are also published. The principal aim of the journal is to promote original systems ideas (concepts, principles, methods, theoretical or experimental results, etc.) that are broadly applicable to various kinds of systems. The term “general system” in the name of the journal is intended to indicate this aim–the orientation to systems ideas that have a general applicability. Typical subject areas covered by the journal include: uncertainty and randomness; fuzziness and imprecision; information; complexity; inductive and deductive reasoning about systems; learning; systems analysis and design; and theoretical as well as experimental knowledge regarding various categories of systems. Submitted research must be well presented and must clearly state the contribution and novelty. Manuscripts dealing with particular kinds of systems which lack general applicability across a broad range of systems should be sent to journals specializing in the respective topics.
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