Multidimensional Statistical Convergence in Credibility Theory

IF 1 4区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Pub Date : 2023-08-01 DOI:10.1142/s0218488523500277

R. Savaş

引用次数: 0

Abstract

The purpose of this article is to present the concepts of double statistical convergence in credibility and [Formula: see text]-double statistical convergence in credibility in pringsheim sense. By using these definitions we present a natural multidimensional extension of Credibility theory via Summability methods.

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可信度理论中的多维统计收敛

本文的目的是提出可信度的双重统计收敛和[公式:见文本]- pringsheim意义上的可信度的双重统计收敛的概念。利用这些定义，我们通过可和性方法对可信度理论进行了自然的多维扩展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems 工程技术-计算机：人工智能

CiteScore

2.70

自引率

0.00%

发文量

审稿时长

13.5 months

期刊介绍： The International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems is a forum for research on various methodologies for the management of imprecise, vague, uncertain or incomplete information. The aim of the journal is to promote theoretical or methodological works dealing with all kinds of methods to represent and manipulate imperfectly described pieces of knowledge, excluding results on pure mathematics or simple applications of existing theoretical results. It is published bimonthly, with worldwide distribution to researchers, engineers, decision-makers, and educators.