Vol.8, No.1, February 2019.                                                                                                                                                                             ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333

TEM Journal

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science

Synthesis Method of Flash Graphs for Optimal Search of Manufacturing Subsystems Recognised on Basis of Composite Bayes Task Solution

V.N. Shepel`, N.V. Speshilova, V.A. Tripkosh, R.R. Rakhmatullin

© 2019 N.V. Speshilova, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

Citation Information: TEM Journal. Volume 8, Issue 1, Pages 144-149, ISSN 2217-8309, DOI: 10.18421/TEM81-20, February 2019.

Received: 22 October 2018.
Accepted: 25 January 2019.
Published: 27 February 2019.

Abstract:

The decision-making algorithm selection is one of the problems that modern economics, industrial management and situation identification process face. The Bayesian composite approach is considered to be the safest way for algorithm identification. However, the approach based on Bayesian composite rules is time-consuming and computationally intensive, that`s why it is important to develop the method, when combined with the Bayesian approach, will enable to scale back the computation.
The article describes the synthesis method of flow graphs for optimal search within the member group (including the search within the industrial structure) and suggests this method as the main implementable algorithm for situation identification, based on Bayesian composite rule for decision-making.
Such scientific methods as mathematical techniques of graph theory, algorithm and combination methods, probability theory method, and methods of statistical analysis were used in the research.

Keywords – Economics and industrial management, flow graph, situation identification, Bayesian composite task.

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