Adaptive approach to processing data of experts evaluation when solving problems in the field of information protection

Александр Евгеньевич Архипов, София Анатольевна Архипова
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Abstract

Expert procedures are effective, and in some cases the only way to obtain the information necessary to solve a wide range of tasks in the field of information protection. The article analyzes the accuracy aspects of the processing of group examination data, in particular, the possibility of realizing the optimal processing of this data. It is shown that an attempt to formulate and solve the optimization problem in the most complete statement leads to a conflict situation due to the lack of the necessary a priori information for the correct solution of the problem in this statement. The way out is the use of an adaptive approach to organizing data processing, the essence of which is to extract the missing information directly from the processed data set. The additional information received, to one degree or another, makes up for the deficit of a priori information, ensuring the improvement of the structure and functions of the elements of the processing procedure. Improving the processing procedure increases its efficiency and allows you to further expand the amount of additional information received, causing the implementation of a new adaptation step. As a result, an iterative process mode of adaptive data processing is formed, the concept of the adaptation level is introduced, its methodological and operational content, model representations of the basic elements of the adaptation procedure are considered. Possible levels of adaptation, their substantive aspect, methods of accumulating and storing information about the properties of expert data and characteristics of experts are described, the criteria and methodology for making decisions about data processing methods and forms of their implementation are considered.
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解决信息保护领域问题时专家评价数据的自适应处理方法
专家程序是有效的,在某些情况下是获取必要信息的唯一途径,可以解决信息保护领域的各种任务。文章分析了群体考试数据处理的准确性,特别是实现群体考试数据优化处理的可能性。结果表明,试图在最完备的陈述中制定和求解优化问题,由于缺乏正确求解该陈述中问题所需的先验信息,导致了冲突情况。出路是采用自适应方法组织数据处理,其实质是直接从处理过的数据集中提取缺失信息。收到的额外资料在某种程度上弥补了先验资料的不足,确保了处理程序各组成部分的结构和功能的改进。改进处理过程可以提高其效率,并允许您进一步扩展接收到的附加信息的数量,从而实现新的适应步骤。在此基础上,提出了自适应数据处理的迭代过程模式,引入了自适应层次的概念,讨论了自适应层次的方法和操作内容,以及自适应过程基本要素的模型表示。描述了可能的适应水平,其实质性方面,积累和存储有关专家数据属性和专家特征的信息的方法,并考虑了有关数据处理方法及其实施形式的决策的标准和方法。
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