Developing an expert system method for assessment of destructive information-psychological influence

Nowadays solving practical problems in various sectors using intelligent solutions, based on expert systems are becoming more and more widespread. In this paper an expert system method is proposed for assessment and prediction of destructive influences. All disadvantages of existing assessment syste...

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Main Authors: Zahran, Bilal (Author), AL-Azzeh, Jamil (Author), Gizun, Andrii (Author), Griga, Vladyslav (Author), Bystrova, Bogdana (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2019-09-01.
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042 |a dc 
100 1 0 |a Zahran, Bilal  |e author 
100 1 0 |e contributor 
700 1 0 |a AL-Azzeh, Jamil  |e author 
700 1 0 |a Gizun, Andrii  |e author 
700 1 0 |a Griga, Vladyslav  |e author 
700 1 0 |a Bystrova, Bogdana  |e author 
245 0 0 |a Developing an expert system method for assessment of destructive information-psychological influence 
260 |b Institute of Advanced Engineering and Science,   |c 2019-09-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/16610 
520 |a Nowadays solving practical problems in various sectors using intelligent solutions, based on expert systems are becoming more and more widespread. In this paper an expert system method is proposed for assessment and prediction of destructive influences. All disadvantages of existing assessment systems are taken into account during the development and analysis phases. The most important estimated parameters are determined. This method is based on quantitative methods of expert evaluation, which gives the advantage: there is no need to collect large amounts of statistical data and clear formalization of the current situation. 
540 |a Copyright (c) 2019 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690
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655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
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786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 15, No 3: September 2019; 1571-1577 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v15.i3 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/16610/12979 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/16610/12979  |z Get fulltext