Informatics and Applications
2021, Volume 15, Issue 3, pp 29-40
EXPERT SYSTEM FOR MONITORING AND FORECASTING OF RESOURCE ALLOCATION PROCESSES
Abstract
The paper presents a project of an expert monitoring system designed to support decision-making in managing the processes of distribution (consumption and reproduction) of resources. The results of the analysis of the consumption process are presented in the form of scenarios for the integral assessment of its state. Scenarios are prepared by an expert, are situational in nature and are used in real calculations both to assess the current state and to predict the development of situations. The traditional interpretation of the consumption process is based on the concept of resources and subjects of consumption who consume resources in accordance with consumption rates, as well as a simple description of the reproduction of resources by production objects. It is assumed that the components of the information model are geographically and temporally referenced, in particular, data on resource reserves are linked to time. The main intellectual load is carried by the methodology for preparing scenarios for the integral assessment of the state. This technique is based on the ideology of expert evaluation of typical situations and the formation of calculation scenarios using simple machine learning methods. The latter use widespread approaches to optimization - minimization of mean squares and modules. The presented project of the expert system is instrumental in nature and can be used in various applications. The process of preparing and evaluating the effectiveness of the scenarios of integral assessment prepared by the expert is illustrated by numerical and graphic material.
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[+] About this article
Title
EXPERT SYSTEM FOR MONITORING AND FORECASTING OF RESOURCE ALLOCATION PROCESSES
Journal
Informatics and Applications
2021, Volume 15, Issue 3, pp 29-40
Cover Date
2021-09-30
DOI
10.14357/19922264210305
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
expert system; resources and consumption; machine learning; least squares method; least modules method
Authors
A. V. Bosov and D. V. Zhukov
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
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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