Formalization of the open knowledge area of the distributed control system

When managing processes in various industries, especially in the information sphere, quite often there is a need for decision making in poorly structured dynamic situations when parameters (values of variables), laws and patterns of development of a situation are described not quantitatively but qua...

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Bibliographic Details
Main Authors: Volodymyr Shemaiev, Ihor Liashenko, Serhii Stefantsev
Format: Article
Language:English
Published: National Defence University of Ukraine named after Ivan Cherniakhovsky 2019-05-01
Series:Sučasnì Informacìjnì Tehnologìï u Sferì Bezpeki ta Oboroni
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Online Access:http://sit.nuou.org.ua/article/view/164880
Description
Summary:When managing processes in various industries, especially in the information sphere, quite often there is a need for decision making in poorly structured dynamic situations when parameters (values of variables), laws and patterns of development of a situation are described not quantitatively but qualitatively. In this case, a unique situation arises when changes in its structure are very difficult to predict. Therefore, the article discusses the use of experts and analysts own experience and intuition. In such situations, a subjective model is used, which is called a cognitive map. The purpose of this article is to analyze the development and use of an open interactive real-time intelligent system with incomplete information. This system should contain the means of extracting new knowledge from the data entering it. The formal model of this system should contain the means for the knowledge base, which are constantly changing, as well as the inference rules by which assumptions are made. The authors consider the approach to the development and use of the concept of building an argumentation decision support system in conflict situations. The use of this concept is aimed at identifying individually significant factors, norms, preferences, arguments, alternatives, and selection strategies.
ISSN:2311-7249
2410-7336