Obtaining the Dynamic Coefficients of Structuredness for Assessing a Domain

Pub Date : 2021-10-01 DOI:10.4018/ijcini.20211001.oa7
O. Popova, B. Popov, V. Karandey, V. Afanasyev
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Abstract

Today, effective management of information requires an in-depth study of its internal organization. The structural organization of information affects the efficiency of choosing a method for solving the problem and the qualitative presentation of information about the subject area. Therefore, the article proposes a new semiotic structural approach to assessing the structuredness of information in a subject area, as well as theoretical, practical, and general logical methods for studying the process of search research as a single system. The authors proposed and investigated the structured information coeffi-cient, which the authors propose to consider in several aspects - with respect to the search research model presented by the traditional algorithm, and the structured subject area. The article presents theo-retical positions, derives the formula of coefficients for different cases, carries out calculations on the example of the subject area “optimization methods”, constructs graphs based on the calculated data, and draws conclusions.
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今天,有效的信息管理需要深入研究其内部组织。信息的结构组织影响着选择解决问题的方法的效率和主题领域信息的定性呈现。因此,本文提出了一种新的符号结构方法来评估一个学科领域的信息结构,以及理论、实践和一般逻辑方法来研究作为一个单一系统的搜索研究过程。作者提出并研究了结构化信息系数,从传统算法提出的搜索研究模型和结构化学科领域两个方面对结构化信息系数进行了考虑。文章提出了理论立场,推导了不同情况下的系数公式,并对学科领域“优化方法”的实例进行了计算,根据计算数据构建了图形,并得出结论。
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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