Systems and Means of Informatics
2015, Volume 25, Issue 3, pp 195-205
SOME APPROACHES TO ANALYTICAL DATA INTEGRATION OF EXISTING AND PROSPECTIVE DECISION SUPPORT SYSTEMS
Abstract
The article discusses the analytical data integration in the creation of integrated decision-making support systems. It shows examples of the relevance technology exchange data analysis. On the basis of the existing foreign and domestic experience, the article proposes approaches to the structure and methods of forming an information model of analytical data in the environment of the interaction of a distributed control system. The article develops the ways of formalizing the analytical data with all components of the control area distributed system management, including target setting, controlled objects, and resources controlled and uncontrolled factors. This includes five stages of analytical data: (i) estimation of parameters of unobserved (hidden) elements of the environment; (ii) operational analysis of the situation by comparing with the previous period; (iii) to assess the situation to determine the degree of complexity of the situation - regular, critical, or emergency; (iv) forecasting changes in the environment; and (v) directly support the processes of managerial decision-making. Formalized description of the main types of analytical data makes it possible to generate their XML model for two levels of control systems - strategic and tactical.
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[+] About this article
Title
SOME APPROACHES TO ANALYTICAL DATA INTEGRATION OF EXISTING AND PROSPECTIVE DECISION SUPPORT SYSTEMS
Journal
Systems and Means of Informatics
Volume 25, Issue 3, pp 195-205
Cover Date
2015-09-30
DOI
10.14357/08696527150312
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
decision support; distributed control system; analytical data; information model
Authors
A. P. Suchkov 
Author Affiliations
Institute of Informatics Problems, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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